software engineer

engineering manager

software development engineer ii Jobs in Mangaluru

software development engineer ii

associate software engineer Jobs in Mangaluru

associate software engineer

calculation engineer

cloud software engineer

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Pune, Maharashtra, India; Hyderabad, Telangana, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer II, Google Cloud

Epsilon

<div>
 
 
 About Business Unit:
 
 
 
 
 
 
 
 From helping to invent the affiliate industry to leading performance marketing, the CJ Team has earned a reputation for maintaining the largest and most reliable partnership-based platform. We are the platform of choice for driving profitable growth for over 3,800 global brands - across industries like retail, travel, finance, and network &amp; home services. Our technology powers a vast partnership ecosystem where over 167K publishers and brands engage with billions of consumers worldwide. The CJ India team connects global brands and publishers to drive scalable growth. Passionate about delivering sustainable outcomes, we focus on providing meaningful solutions to real-world needs.
 
 
 
 
 We are looking for a Software Engineer to work on groundbreaking multichannel SaaS Digital Marketing Platform that focuses on uniquely identify the customer&rsquo;s patterns, effectively interact with them across channels and achieve a positive return on marketing investment (ROMI). The platform helps consolidate and integrates the features and functionality typically found in stand-alone services and channel-specific messaging platforms to give marketers a tightly integrated, easily orchestrated, insights-driven, cross channel marketing capability.
 
 
 Primary role of the Software Engineer is to envision and build internet scale services on Cloud using Java and distributed technologies.
 
 
 
 
 
 
 
 Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Responsible for development and maintenance of applications with technologies involving Enterprise Java and Distributed technologies
 </li>
 <li>
 Collaborate with developers, product manager, business analysts and business users in conceptualizing, estimating and developing new software applications and enhancements
 </li>
 <li>
 Assist in the definition, development and documentation of software&rsquo;s objectives, business requirements, deliverables and specifications in collaboration with internal users and departments
 </li>
 <li>
 Collaborate with QA team to define test cases, metrics and resolve questions about test results
 </li>
 <li>
 Develop components based on business and/or application requirements
 </li>
 <li>
 Create unit tests in accordance with team policies &amp; procedures
 </li>
 <li>
 Work with cross-functional teams during crisis to address and resolve complex incidents and problems in addition to assessment, analysis and resolution of cross-functional issues
 
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent in computer science
 </li>
 <li>
 2 - 5 years of experience in Core Java and Enterprise Java Technologies (J2EE technologies (JSP, Servlets, Java Script, JPA and Web/UI technologies))
 </li>
 <li>
 Experience in the following technologies:
 </li>
 </ul>
 
 - Big Data Ecosystems: Hadoop, Spark, Kafka
 
 
 - Streaming and Batch analytics processes
 
 <ul>
 <li>
 Experience in open source frameworks like Spring IO, Spring MVC, Spring Hibernate, Spring Boot
 </li>
 <li>
 Experience in following Tools: Eclipse, Maven, Gradle, DB tools, Bitbucket/JIRA/Confluence
 </li>
 <li>
 Experience with the following Application Servers: Apache Tomcat 6.x, Jboss 4.0
 </li>
 <li>
 Can develop SOA services and good knowledge of REST API and Micro Service architectures
 </li>
 <li>
 Solid knowledge of web architectural and design patterns
 </li>
 <li>
 Knowledge of JavaScript UI frameworks is desirable (backbone, angular, react, etc.)
 </li>
 <li>
 Understands software security practices including user authentication and authorization, data validation and an understanding of common DOS and SQL injection techniques
 </li>
 <li>
 Familiar with profiling, code coverage, logging, common IDE&rsquo;s and other development tools
 </li>
 <li>
 Scripting Languages: JSP &amp; Servlets, JavaScript, XML, HTML, Python and Bash
 </li>
 <li>
 Familiar with Agile Methodologies &ndash; SCRUM
 </li>
 <li>
 Strong communication skills (verbal and written)
 </li>
 <li>
 Ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment
 </li>
 <li>
 Ability to interface with Business, Analytics and IT organizations
 </li>
 <li>
 Ability to work effectively in short-cycle, team-oriented environment, managing multiple priorities and tasks
 </li>
 <li>
 Ability to identify non-obvious solutions to complex problems
 </li>
 </ul>
 
 
 Nice to have qualifications:
 
 
 
 
 
 
 
 Technical:
 
 
 <ul>
 <li>
 Java Certifications
 </li>
 <li>
 Strong technical knowledge of SQL and data analysis with relational database modeling principles and techniques
 </li>
 <li>
 Working knowledge of Data Technologies in the Cloud such as AWS services of compute, storage, messaging, RDS/Redshift or Snowflake
 </li>
 <li>
 Nice to have strong skills in writing SQL queries (Oracle/SQL Server/Warehouse/NoSQL)
 </li>
 <li>
 Basic Unix/Linux knowledge/exposure is a plus but not required
 </li>
 <li>
 Knowledge of data warehousing concepts
 </li>
 <li>
 Nice to have proven expertise in ETL/ELT tooling such as Pentaho, Integration Services, Informatica, Data Pipeline, Glue
 </li>
 </ul>
 
 
 Non-Technical:
 
 
 <ul>
 <li>
 Functional knowledge of CRM, Marketing, Loyalty
 </li>
 <li>
 Excellent analytical and problem-solving skills
 </li>
 <li>
 Ability to diagnose and troubleshoot problems quickly
 </li>
 <li>
 Strong time management skills with accountability
 </li>
 <li>
 Ability to take full ownership of tasks and projects
 </li>
 </ul>
 
 
 Behavioral Attributes:
 
 
 <ul>
 <li>
 Team player with excellent interpersonal collaboration skills
 </li>
 <li>
 Strong verbal and written communication
 </li>
 <li>
 Possess Can-Do attitude to overcome challenges with high energy levels
 </li>
 <li>
 Self-motivated, directed and passionate
 </li>
 </ul>
 
 
</div>

Software Engineer

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, Javascript).
 </li>
 <li>
 1 year of experience with data structures or algorithms.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 Experience developing accessible technologies.
 </li>
 <li>
 1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, etc.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer II, Full Stack, Google Cloud

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 2 years of experience with front-end frameworks, full-stack development, or API development.
 </li>
 <li>
 2 years of experience with data structures or algorithms in either an academic or industry setting.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Front End, Google Cloud

Capgemini

<div>
 
 Job Description
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and deploy Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc.
 </li>
 <li>
 Develop scalable GenAI applications and integrate with enterprise systems using APIs and SDKs.
 </li>
 <li>
 Fine-tune and optimize large language models (LLMs) for domain-specific use cases.
 </li>
 <li>
 Design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, leveraging services like Azure Machine Learning, Azure DevOps, and Kubernetes.
 </li>
 <li>
 Collaborate with data scientists to productionize ML models using best practices in Azure MLOps.
 </li>
 <li>
 Automate the deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools.
 </li>
 <li>
 Implement scalable model training, validation, and deployment workflows in the cloud.
 </li>
 <li>
 Monitor model performance in production and retrain models as needed to maintain accuracy and reliability.
 </li>
 <li>
 Ensure security, compliance, and governance of ML workflows and data.
 </li>
 <li>
 Develop Python scripts and tools to automate repetitive tasks and improve operational efficiency.
 </li>
 <li>
 Troubleshoot and optimize ML workflows for performance and cost-effectiveness.
 </li>
 <li>
 Document architecture, processes, and operational procedures.
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Hands-on experience with transformer-based models (e.g., GPT, BERT, LLaMA, etc.)
 </li>
 <li>
 Familiarity with tools like LangChain, LlamaIndex, Haystack, etc.
 </li>
 <li>
 Experience in prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning.
 </li>
 <li>
 Proven experience in MLOps, specifically with Azure services.
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Experience with Hugging Face Transformers, PyTorch or TensorFlow.
 </li>
 <li>
 REST APIs and/or gRPC for model integration.
 </li>
 <li>
 Experience with Azure Databricks, Azure Machine Learning, Azure OpenAI
 </li>
 <li>
 Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience building and managing CI/CD pipelines for ML models using Azure DevOps or equivalent tools.
 </li>
 <li>
 Building REST APIs for ML inference using frameworks like FastAPI or Flask.
 </li>
 <li>
 Understanding of containerization technologies like Docker and orchestration using Kubernetes.
 </li>
 <li>
 Knowledge of machine learning lifecycle management, model versioning, and deployment strategies.
 </li>
 <li>
 Experience with data engineering, data pipelines, and ETL processes on Azure.
 </li>
 <li>
 Familiarity with monitoring tools and logging frameworks for production systems.
 </li>
 <li>
 Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 GenAI models: GPT, BERT, LLaMA, PaLM
 </li>
 <li>
 Framework: PyTorch or TensorFlow
 </li>
 <li>
 Cloud Platforms: Microsoft Azure (Azure ML, Azure Databricks, AKS, Azure DevOps)
 </li>
 <li>
 Programming Languages: Python
 </li>
 <li>
 CI/CD Tools: Azure DevOps, GitHub Actions, Jenkins
 </li>
 <li>
 Containerization: Docker, Kubernetes
 </li>
 <li>
 Data Storage &amp; Processing: Azure Blob Storage, Azure SQL, Azure Data Factory
 </li>
 <li>
 Monitoring &amp; Logging: Azure Monitor, Application Insights, Prometheus, Grafana
 
 
 </li>
 </ul>
 
 Mandatory Skills
 
 
 
 GPT/BERT/LLaMA, MLOps, Python, Azure Databricks, Azure Machine Learning, Azure OpenAI, GenAI applications, Transformer-based models
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist | 3 to 6 Years

Microsoft

<div>
 The Linux Systems Group (LSG), part of Microsoft&rsquo;s Core Operating Systems group, is central to powering Azure Cloud through Linux Operating Systems and virtualization technologies. The team is seeking a Software Engineer with strong programming skills who will closely work with senior engineers to develop, debug and maintain system-level software for a Linux-based platform. This is a great opportunity to join LSG and be part of Microsoft's Azure Cloud Infrastructure growth.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Contribute to design, development and debugging of low-level system software components like bootloaders, system daemons and services and Kernel modules.
 </li>
 <li>
 Write clean, efficient, and well-documented code in C/C++, with occasional scripting in Python, Bash, and Makefiles.
 </li>
 <li>
 Analyze and comprehend existing systems and identify areas of improvement.
 </li>
 <li>
 Collaborate with cross-functional teams including hardware, firmware and application developers and ensure seamless integration.
 </li>
 <li>
 Collaborate with infrastructure, DevOps, and security teams to ensure seamless integration and deployment.
 </li>
 <li>
 Participate in code reviews, testing, and debugging sessions to ensure high-quality deliverables.
 </li>
 <li>
 Participate in debugging, profiling, and root cause analysis of system-level issues in production and staging environments.
 </li>
 <li>
 Assist in performance tuning, system bring-up, and troubleshooting on embedded or server-class Linux platforms.
 </li>
 <li>
 Contribute to Open Source Software (OSS) technologies.
 </li>
 <li>
 Contribute to automation of infrastructure components and CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, or a related field.
 </li>
 <li>
 2+ years of experience with strong programming skills in C/C++, Python and a solid grasp of systems programming concepts.
 </li>
 <li>
 Familiarity with Linux internals, including process management, file systems, and networking.
 </li>
 <li>
 Basic understanding of kernel-space vs. user-space concepts.
 </li>
 <li>
 Experience with Git and standard development workflows.
 </li>
 <li>
 Ability to read and understand large, complex codebases and contribute meaningfully.
 </li>
 <li>
 Strong analytical, problem-solving and debugging skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to Linux kernel development, device drivers, or embedded systems.
 </li>
 <li>
 Experience with cross-compilation, build systems (e.g., Make, CMake, Yocto), and debugging tools (e.g., GDB, strace, perf).
 </li>
 <li>
 Familiarity with hardware-software interfaces such as I2C, SPI, UART, or PCIe.
 </li>
 <li>
 Contributions to open-source projects or personal projects involving system-level programming.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Impact Analytics

<div>
 Impact Analytics&trade; (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year&rsquo;s inputs to forecast and plan this year&rsquo;s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,
 
 
 manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.
 
 
 Here&rsquo;s a link to our website: www.impactanalytics.co.
 
 
 Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.
 
 
 
 Meet the Team:
 
 Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.
 
 
 
 Role Overview:
 
 This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:
 
 
 <ul>
 <li>
 Drive complex backend architecture initiatives that span across multiple engineering and technology domains.
 </li>
 <li>
 Lead strategic R&amp;D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide.
 </li>
 <li>
 Spearhead our Multi-Cloud &amp; Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.
 
 
 </li>
 </ul>
 
 What Our Ideal Candidate May Look Like
 
 
 
 <ul>
 <li>
 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.
 </li>
 <li>
 A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.
 </li>
 <li>
 Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.
 </li>
 <li>
 In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support
 </li>
 <li>
 Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.
 </li>
 <li>
 Deep understanding of system design, database architecture (SQL &amp; NoSQL), microservices, observability, resilience engineering, and secure coding practices.
 </li>
 <li>
 Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.
 </li>
 <li>
 Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.
 </li>
 <li>
 Proven experience mentoring engineers and guiding architectural decisions at scale.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to lead large, high-impact projects for global Fortune 500 clients.
 </li>
 <li>
 Work in a high-growth startup environment with a flat, collegial culture.
 </li>
 <li>
 Best-in-class remuneration and benefits.
 </li>
 <li>
 A platform for personal and professional growth with ownership and autonomy.
 
 
 </li>
 </ul>
 
 Some Of Our Accolades Include
 
 
 
 <ul>
 <li>
 Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
 </li>
 <li>
 Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
 </li>
 <li>
 Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
 </li>
 <li>
 Ranked #72 in America&rsquo;s Most Innovative Companies list in 2023&mdash;by Fortune&mdash;alongside companies like Microsoft, Tesla, Apple, IBM, etc.
 </li>
 <li>
 Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
 </li>
 <li>
 Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
 </li>
 </ul>
</div>

Product Architect - Backend

Explore 204+ Cloud software engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

204 cloud software engineer jobs IN Mangaluru

Software Engineer II, Google Cloud

Software Engineer

Software Engineer II, Full Stack, Google Cloud

Software Engineer III, Front End, Google Cloud

Data Scientist | 3 to 6 Years

Software Engineer

Product Architect - Backend