Distributed Computing Jobs in Hyderabad

Principal Software Engineer Database Store (PMTS) | Hyderabad, India Full-Time | Software Engineering | Salesforce Build the Future of Enterprise-Grade Cloud Databases at Massive Scale Join Salesforce s Salesforce Database (SDB) team in Hyderabad, where we design and build a highly available, resilient, and scalable distributed storage system powering Salesforce s core enterprise applications on public cloud infrastructure. We re pioneering next-generation cloud computing technologies with a strong focus on transactional and distributed systems that deliver world-class reliability and performance. If you are a seasoned software engineer or technical leader with deep expertise in RDBMS, distributed databases, and scalable storage architectures, this is your chance to drive innovation in enterprise cloud database technology at one of the world s fastest-growing tech companies. What You ll Do Lead the design, architecture, and hands-on development of scalable, fault-tolerant, and resilient distributed transactional systems Build and optimize highly available data storage solutions supporting mission-critical Salesforce applications Develop clean, high-quality code primarily in Java or C within Unix/Linux environments, applying modern OOP techniques and design patterns Utilize telemetry and metrics-driven development to ensure operational excellence and system health Collaborate in an Agile development environment, contributing to continual team process improvement Mentor junior engineers and actively participate in code reviews and testing to maintain high-quality standards Solve complex challenges related to clustering, system programming, and cloud-native deployment Work closely with cross-functional teams to innovate and deliver incremental, reliable system improvements on public cloud platforms Employ knowledge of Kubernetes, public cloud APIs, and distributed systems internals to optimize deployment and scalability Qualifications & Skills 15+ years of professional software engineering experience, or M.Tech with 12+ years of relevant experience Proven track record in designing and delivering large-scale distributed and transactional systems in enterprise production environments Strong proficiency in Java or C programming on Unix/Linux platforms Deep understanding of relational databases, distributed systems architecture, and fault-tolerant storage Experience using metrics, telemetry, and monitoring tools to drive system improvements and operational reliability Familiarity with Agile methodologies and commitment to continuous delivery and improvement Strong leadership skills with the ability to mentor, collaborate, and influence within a dynamic engineering team Practical knowledge of cloud infrastructure, Kubernetes, and deployment automation is highly desirable Benefits & Perks Comprehensive benefits including health and well-being reimbursements, parental leave, adoption and fertility support Access to world-class enablement and continuous learning via Trailhead and other platforms Regular 1:1 coaching sessions with executive leadership for career growth and mentorship Opportunity to participate in Salesforce s 1:1:1 philanthropy model and give back to the community Work in a fast-paced, metrics-driven, and collaborative culture focused on innovation and excellence

Azure Data Engineer (Mid-Level) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience Level: 5+ Years Industry: Information Technology / Cloud Data Engineering Job Overview We are hiring an experienced Azure Data Engineer (Mid-Level) to join our team in Hyderabad. In this role, you will work closely with business stakeholders, analysts, and IT teams to design, implement, and manage scalable, high-performance data solutions on the Azure Cloud Platform. Your expertise in data modeling, ETL development, and cloud-based data warehousing will be critical in supporting data-driven decision-making across the organization. Key Responsibilities Analyze large datasets and deliver clear, actionable reports using statistical techniques. Design and implement data pipelines, data collection systems, and analytics strategies that enhance operational efficiency. Develop and maintain data systems, ensuring high data quality, consistency, and integrity. Collaborate with business stakeholders, analysts, and developers to translate business requirements into technical solutions. Design, build, and manage distributed data systems and applications on the Azure Cloud. Lead and execute ETL development, including data extraction, transformation, and loading using tools like Informatica or SSIS. Conduct technical design reviews, performance tuning, and testing of data workflows. Adapt to changing priorities and contribute as an individual contributor or team leader depending on project scope. Required Qualifications & Skills Bachelor s degree in Computer Science, Information Systems, or a related field. Minimum 5+ years of experience in data engineering, data analysis, or database design. Proficient in SQL and T-SQL for querying and managing relational databases. Hands-on experience with ETL frameworks such as Informatica or SSIS. Strong understanding of data modeling, data mining, and segmentation techniques. Experience working with structured and unstructured data sources. Proficient in statistical tools and packages (Excel, SSIS, SAS, etc.). Strong analytical mindset with excellent attention to detail and data accuracy. Preferred Skills (Good to Have) Experience with Python and Apache Spark for data manipulation and automation. Experience with modern data platforms: Azure Synapse Analytics Azure Databricks Amazon Redshift Prior experience in developing automation solutions using Python or similar scripting languages. Knowledge of Enterprise Data Warehousing (EDW) concepts and solutions. Competitive compensation package with benefits. Work with cutting-edge cloud technologies in real-world environments. Collaborative, fast-paced, and innovation-driven workplace. Career development support with continuous learning opportunities. A chance to make a tangible impact on enterprise-level data systems. Apply Now If you are a data-driven professional with a strong command of Azure and ETL tools, and you re looking to advance your career in data engineering, apply now and become part of a forward-thinking tech team based in Hyderabad! Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Job Title: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Job Title: Blockchain Developer Job Type: Full-time Responsibilities: Design, implement, and support a distributed blockchain-based network. Develop Proof of Concepts (POC) and run pilot projects on various blockchain platforms. Write smart contracts and create other Distributed Ledger Technology (DLT) components. Implement cryptography and ensure an additional level of security within the DLT and its external endpoints. Work on integrating and implementing the latest blockchain improvement proposals and updates. Skills and Experience: Working knowledge of at least one blockchain framework, such as Ethereum, Hyperledger Fabric, or R3 Corda. Experience in REST API development and Test-driven development. Proficiency in at least one of the leading programming languages used for blockchain development (e.g., Java, NodeJS, Solidity). Strong understanding of common algorithms and data structures. Familiarity with basic cryptography and its application in blockchain technology. Familiarity with P2P (peer-to-peer) networks and decentralized systems. Strong knowledge of concurrency and writing efficient, safe multithreaded code. Demonstrated understanding of Blockchain fundamentals, including smart contracts and consensus algorithms. Fabric Developer or Administrator certification would be a huge plus. Experience with containerization (e.g., Docker) and cloud computing platforms like AWS or Azure is a plus. Education: Bachelor s or Master s degree from premier institutes (preferred). Experience: 3-10 years of experience in blockchain development or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and professional development. Collaborative and innovative work environment. Work on cutting-edge technologies and impactful blockchain projects. If you re passionate about blockchain and ready to take on exciting challenges, we d love to hear from you! Apply now and be part of the blockchain revolution! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Introduction In this role, you'll be part of one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients globally. Our centers provide locally-based skills and technical expertise to drive innovation and the adoption of new technologies. A career at IBM Consulting involves building long-term relationships and collaborating closely with clients across industries. You'll work alongside visionaries to help them on their hybrid cloud and AI journeys, enhancing the value and impact of some of the most innovative companies in the world. With access to IBM s strategic partner ecosystem and cutting-edge technology platforms, including IBM Software and Red Hat, you will be empowered to accelerate client transformations and create meaningful change. Curiosity and a constant quest for knowledge serve as the foundation for success at IBM. In your role, you'll be encouraged to challenge the status quo, explore ideas beyond your current role, and come up with creative solutions that will make a significant impact across a wide network of clients. Our culture of evolution and empathy is centered on long-term career growth and development opportunities in an environment that celebrates your unique skills and experience. Your Role and Responsibilities As a Data Engineer at IBM, you will be a critical player in designing and developing applications, while also providing guidance to project teams on complex coding, troubleshooting, and execution. Your key responsibilities include: Solution Design and Construction: Lead the design and construction of new data solutions using the latest technologies, ensuring business value and meeting user requirements. Continuous Improvement: Advocate for continuous improvement by testing solutions and working within an Agile framework to enhance and iterate the developed solutions. Innovation: Stay current with the latest technology trends, discovering and implementing creative solutions to solve business problems. Collaboration: Work with diverse teams to deliver impactful data solutions while ensuring scalability, quality, and performance. Required Education Bachelor s Degree in a relevant field Required Technical and Professional Expertise Apache Spark (PySpark): In-depth knowledge of Spark s architecture, core APIs, and using PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Proficiency in Python: Expertise in Python programming, particularly focused on data processing and manipulation. Data Processing Frameworks: Experience with Pandas, NumPy, and other data processing libraries. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or GCP, including working with cloud storage systems. Preferred Technical and Professional Experience Architecture Strategy: Experience in defining, driving, and implementing architecture strategies and standards for end-to-end monitoring of data solutions. Cross-Team Collaboration: Partnering with technology teams, including application development, enterprise architecture, testing services, and network engineering. Security: Familiarity with detection and prevention tools for company products and customer-facing platforms. How You ll Grow At IBM, we offer opportunities for career development and provide an environment where you are encouraged to continuously grow, learn, and expand your expertise. Working with cutting-edge technologies and a diverse set of clients, you will be able to stay ahead of industry trends and make meaningful contributions that have a real impact. About IBM Consulting IBM Consulting helps organizations tackle their most pressing challenges through innovative and agile solutions. By partnering with clients, we drive technology transformations, helping them optimize their operations and leverage new technologies like AI, cloud, and data. Our team s expertise spans across many industries, delivering solutions that enable clients to navigate digital transformations. This role offers an exciting opportunity to work with leading technologies while contributing to client success in a highly dynamic environment. If you re passionate about solving complex data problems and delivering impactful solutions, IBM Consulting is the place to grow your career. Qualification : Bachelors Degree in a relevant field

Overview At Microsoft, our core mission is empowering every person and every organization on the planet to achieve more. Industry Solutions (IS) is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, architects and consultants, who along with delivery experts are working together to bring Microsoft s mission of empowerment and cutting-edge technology - to life for the world s most influential customers. We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Qualifications Required/Minimum Qualifications Bachelor's degree OR Master s degree in computer science, Information Technology, Engineering, or related field AND 14+ years experience in developing technology solutions, practice development, architecture, and consulting. Additionalor Preferred Qualifications Technical or Professional Certifications Inclusive and collaborative driving teamwork and cross-team alignment. Strong partner relationship management and solution development skills. Conversant knowledge of competing platforms and solutions. Strong executive presence including communication and presentation skills with high comfort to large and small technical audiences. Problem solving mentalityleveraginginternal and/or external resources, conflict resolution, and follow through with partners. Orchestration of application development lifecycle. Demonstrable architecture, design, implementation, and/or support of complex application architectures Candidates must alsodemonstrate the abilityto adapt tonew technologies, learn quickly, and understand relevant cloud trends is required. Other The job may require travel. Fluent English verbal and written communications skills area must. /span> Responsibilities Architecture and Design Leverages a structured approach to architecture projects using existing methodologies (e.g., Waterfall, Agile, Iterative) that make use of existing reference architecture and establishedarchitectural styles and design patterns. Defines and documents the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution Leads cost-based and technology-based discussions to explain the architecture in terms of its build, deployment, and ongoing operational use todeterminecustomer appetite for the business solution. DemonstrateROI that the business solution realizes. Collaborates with the Project Manager to jointly drive project/technical governance of the design, build, and deployment into use of proof of concepts (POCs) and pilots. Collaborates with business sponsor and customer/partner stakeholders (e.g., Business users, Enterprise Architects, Security Team, Operations Team) to gather and ratify requirements and constraints. Manages and resolves ambiguity in the requirements and documents assumptions and implications where it cannot be resolved. Drives development and execution of Test Plans to prove that each requirement/constraint has been implemented as expected by the customer. Collaborates with Project Manager and Account Team toidentify, categorize, and communicate business and technical risks. Generates new and/or improvements to existing intellectual property.Drives the re-use of intellectual property and recommends practices in both pre-sales and delivery. Participates and contributes to internal/externalcommunities. Trusted Advisor Develops a network of internal/external relationships to build influence in addressing problems/ blockers and facilitating additional views on the matter of interest. Stays up to date on Microsoft s technologies, products. Uses evidence-based arguments that articulate complex concepts in a simple manner to respectfully challenge Microsoft and customers / partners when a decision or course of action will not produceoptimalresults. Serves as the "technical conscience" to challenge the status quo and unrealistic expectations. Proactively resolves conflicts and seeks resolution to balance the overall outcome. Thought Leadership Shares ideas, insight, and strategic, technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using a thorough knowledge of specific Microsoft products and their context in the competitive landscape. Participates in external architect community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and shares learnings with internal team. Acts a mentor to junior colleagues to educate them on technical and non-technical concepts. Technology Areas Designing scalable solutions on Azure cloud platforms with focus on performance and resiliency, utilizing microservices architecture, data structures, modern application design patterns, and anti-patterns, such as MVC, CQRS and/or SAGA Engineering distributed applications within architectural scenarios such as Web andIoT Extensiveexperiencein application development including implementing,customizing, operating, and troubleshooting Azure Cloud solutions. Comprehensiveexpertisein microservices, Docker, and Kubernetes. Containers for packaging application deployment units and interacting with container-orchestration technologies such as Kubernetes, Service Fabric, Cloud Foundry DefiningCI/CDpipelines to automate test and release across different application environments using concepts such as Blue/Green and Canary deployments and related technologies (e.g.,Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet) Strong working knowledge of security controls such as encryption, AuthN/AuthZ, application monitoring and end-to end Telemetry. Proficient with one or more Cloud Databases such as Azur...

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.

About the Job Like Google's own ambitions, the work of a Software Engineering Manager goes far beyond Search. This role combines technical leadership with team management to drive large-scale, impactful projects while enabling your team of engineers to deliver their best work. You ll not only contribute to product strategy and manage project goals but also foster the growth of talented engineers across your team. Google s engineering teams tackle challenges in information retrieval, artificial intelligence, distributed computing, large-scale system design, networking, security, and data analytics, among others. As a manager, you will lead engineering teams across multiple locations and drive high-impact solutions for complex challenges. Our Enterprise Data & Engineering (EDE) team is focused on unlocking the value of enterprise data, making it accessible, reliable, secure, and actionable for Googlers. Corp Eng builds business solutions that scale globally to support Google s internal operations and services. Our mission is simple: We are Google for Googlers delivering tools and experiences that help every Googler create impactful products and services. Responsibilities Conceive and deliver data management and analytics solutions to meet Googlers' needs, driving high-impact projects across Google. Influence Connected Data strategy, ensuring consistent and secure data assets built on canonical entity schema for higher-level insights. Ensure data integrity and security, implementing procedures to maintain the highest levels of confidentiality and data protection. Partner with internal teams to define and implement solutions that improve business processes. Maintain the highest standards of development practices, including technical design, systems configuration, testing, and writing clean, modular code. Minimum Qualifications Bachelor's degree or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of technical leadership experience overseeing projects, with 2 years in people management or team leadership. Experience in data management, data integration, distributed databases, and SQL pipelines. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. Experience implementing and integrating third-party applications in domains like Finance, Supply Chain, HR, and Marketing.

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

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.

Minimum qualifications: Bachelor s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. Experience developing accessible technologies. 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 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. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google s IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 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. Qualification : Bachelors degree or equivalent practical experience.

Job Title: Principal Engineer Java Location: Hyderabad, India About Kanerika Kanerika Inc. is a leading global software products and services company focused on empowering data-driven enterprises. Co-founded by Wharton alumni, we specialize in helping organizations achieve digital transformation through innovative, custom-built solutions that optimize operations, enhance customer experiences, and fuel business growth. Awards & Recognitions Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India Recognized for data security excellence with ISO 27701, SOC 2, and GDPR compliance Position Overview We are looking for a highly skilled Principal Engineer Java to join our dynamic team in Hyderabad. In this role, you will lead the design, architecture, and development of scalable enterprise applications. You ll collaborate with cross-functional teams to deliver high-quality, mission-critical software that meets business goals. What You ll Do Architect, design, and implement complex enterprise-grade applications using Java and related technologies. Build and maintain RESTful APIs using Spring Boot, Spring Framework, and Spring DI/AOP. Work with databases such as Oracle, PostgreSQL, MySQL, or SQL Server. Integrate real-time messaging systems (e.g., Apache Kafka) for scalable event-driven architecture. Develop and deploy microservices in containerized environments. Utilize cloud platforms (AWS, Azure) for scalable application hosting. Apply Agile methodologies with a strong focus on code quality, testing, and standards. Manage source control and CI/CD pipelines using GitLab, Jenkins, and other DevOps tools. Mentor junior engineers and contribute to technical leadership and decision-making. What You ll Bring Bachelor s degree in Computer Science, Engineering, or related field. 5+ years of experience in Java/J2EE development with increasing levels of responsibility. Strong hands-on experience with: Spring Boot and Microservices architecture Real-time integration using Kafka or equivalent frameworks RDBMS like Oracle, SQL Server, or PostgreSQL Working knowledge of cloud services, containers, and DevOps tooling. Excellent problem-solving skills, high EQ and IQ, and the ability to lead by example. We re more than just a workplace we re a community where innovation, diversity, and professional growth are valued. Employee Benefits Culture & Work Environment Open Door Policy & Flat Hierarchies Collaborative Open Office Layout Flexible Working Hours Biannual Performance Appraisals Employee Referral Program Health & Wellness Health & Life Insurance (GMC, Term, Disability) Wellness Initiatives and Support Family & Parental Support Generous Parental and Family Medical Leave Company-Sponsored Family Events Time-Off & Perks Generous Paid Time Off (above industry average) Paid Sick Days, Holidays & Bereavement Leave Gratuity and Provident Fund Regular Team Outings Learning & Development Access to FLEX Enterprise Learning Repository Mentorship & Career Growth Programs Professional Certification Reimbursements Strong "Promote from Within" Culture Join Us Become part of a company that is redefining enterprise solutions. At Kanerika, your ideas matter, your growth is nurtured, and your contributions create lasting impact. Qualification : Bachelors degree in Computer Science, Engineering, or related field.

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.

Job Description We are seeking a skilled and passionate developer with hands-on experience in Java/J2EE development and open-source technologies. The ideal candidate will be an individual contributor with excellent communication skills and a strong passion for writing code. Primary Responsibilities: Hands-on experience in Java/J2EE development, including open-source technologies. Work as an individual contributor and write a significant amount of code. Experience with Cloud Technology (AWS, Google Cloud, etc.) and Agile methodology. Strong knowledge of key data structures, algorithms, and system design fundamentals. Strong skills to architect systems and drive design conversations and feedback. Experience with Spring framework and Spring Boot is required. Experience with microservice architecture, REST-based APIs, and enterprise SaaS products is required. Skills in unit testing and integration tests between databases and endpoints. Experience with continuous delivery/deployment pipelines for enterprise SaaS products is desirable. Strong SQL skills (complex queries) and experience in Data Modeling and RDBMS (MySQL) is a must. Experience with serviceability frameworks for logs, events, and metrics of enterprise SaaS products is desirable. Experience with distributed databases like Postgres, Greenplum, and NoSQL databases (MongoDB, Cassandra) is beneficial. Experience with Docker and familiarity with Kubernetes is desirable. Experience with JUnit or TestNG, and performance testing of API services. Experience working with remote teams and mentoring other team members is needed.

Job Description We are looking for a passionate engineer to join an early-stage startup focused on building innovative cloud-native data protection solutions. This role requires a proactive approach to learning and scoping business requirements, and developing appropriate DevOps solutions. It's a great opportunity for engineers eager to step out of their comfort zone and work on solving modern data security challenges that have a huge impact. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience in building products on AWS. Prior work in startups is a huge plus. This is a hands-on DevOps role, comfortable with rapid prototyping and implementation of products in an agile team environment. Ability to ensure that systems are safe and secure against cybersecurity threats. Familiarity with scripting languages like Python. Experience with the implementation of various data services in AWS or other clouds. Experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible. Experience in container and clustering technologies such as ECS, Docker, Kubernetes, and Helm. Experience with version control systems like GitHub and GitHub workflows. Experience with monitoring tools like CloudWatch. Ability to implement good DevOps practices across infrastructure.

Job Description We are looking for a passionate engineer interested in working at an early-stage startup building innovative cloud-native data protection solutions. The ideal candidate must be comfortable learning and scoping business requirements to develop effective solutions. This is a great opportunity for engineers who are eager to step out of their comfort zone and solve impactful modern data security concerns. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience building products using Java and/or Python. Prior experience in startups is a huge plus. Comfortable with rapid prototyping and implementation of products in an agile team environment. Data engineering experience with implementation of data ingestion, ETL, data pipeline/workflows. Experience implementing database views and UDFs to control access to data using row and column filters. Working experience in databases and data warehouses. Proficient in one or more of the following: AWS RDS, AWS Data Lake, Redshift, Athena, Databricks, and Snowflake. Experience implementing data solutions using Spark. Ability to write and tune complex SQL queries.

Job Description Location: Hyderabad, Telangana, India Job Type: Permanent (full-time) Experience: 6+ years No. of Openings: 2 Key Responsibilities: Tech Stack Expertise: Proficiency in Python, Pyspark, and Databricks, utilizing these tools to develop robust data pipelines, perform data transformations, and optimize data workflows within the Supply Chain realm. Innovative Problem-Solving: Demonstrate technical expertise by thinking creatively and providing innovative solutions to complex data-related challenges, pushing boundaries in Supply Chain data analytics. Communication Skills: Exceptional communication abilities to effectively convey technical concepts, collaborate with cross-functional teams, and articulate solutions to non-technical stakeholders. Autonomous Work: Ability to work independently and proactively, taking ownership of projects, and delivering high-quality solutions with minimal supervision. Guidance and Best Practices: Lead the team by setting coding standards, advocating for reusable and modularized code, implementing design patterns, and guiding on best practices in data engineering. Perks and Benefits: Strong expertise in Python, Pyspark, and Databricks, with hands-on experience in developing and optimizing data pipelines for complex data transformations. Exceptional problem-solving skills, with a demonstrated ability to think creatively and develop innovative solutions for data-related issues. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Self-driven and autonomous work style, capable of taking ownership of projects and delivering high-quality results independently. Experience in guiding and mentoring teams on coding standards, design patterns, and best practices in data engineering.

Job Title: DevOps Engineer Location: Hyderabad, India About Celigo: At Celigo, we are pioneering the future of application integration with innovative strategies, cutting-edge technologies, and a dedicated team. Our core mission is simple: to enable independent, best-of-breed applications to work together seamlessly. We believe that every department and business end user should have choices in software selection, and integration challenges should never be an obstacle. Your Role: Celigo powers integration for a large number of customers worldwide through our Integrator.io iPaaS platform, processing millions of transactions daily. Our services are mission-critical, large-scale solutions in the area of iPaaS. We are looking for passionate DevOps engineers who thrive on managing modern, large-scale production services on the cloud. The successful candidate will work in alignment with Celigo's DevOps charter to deliver high-quality products faster, safer, and in compliance with company norms using automation, tooling, and processes. Education: Master's/Bachelor's degree in Computer Science/Engineering, Software Engineering, or a related discipline. Experience: 5-10 years of total experience in software product development organizations, with at least 3 years of experience in DevOps. Role Expertise: Proven experience as a Site Reliability Engineer (SRE) or similar role, including hands-on experience in managing mission-critical, large-scale product operations such as provisioning, deployment, upgrades, patching, and incidents in production on cloud. Cloud Skills: Must have working knowledge of AWS services (e.g., VPC, EC2, EKS, S3, IAM). Automation Expertise: Proficient in Infrastructure as Code (IaC) using Terraform and scripting with Python/Bash. Experience with version control systems like Git. Configuration Management: Familiarity with automation tools like Chef, Ansible, and Puppet. Security: Basic understanding of security compliance standards and regulations such as SOC2, HIPAA, GDPR. CI/CD Expertise: Hands-on experience in designing, delivering, and maintaining CI/CD pipelines using tools like Jenkins, Travis CI, Spinnaker, and ArgoCD. Monitoring & Telemetry: Experience with observability tools like Splunk, ELK, and Kafka. Database Knowledge: Familiarity with MongoDB and Kafka. Problem Solving & Troubleshooting: Strong problem-solving, troubleshooting, and analytical skills, demonstrated in previous roles. Communication Skills: Excellent verbal and written communication skills. Agile Experience: Experience working in an Agile development environment. Enterprise Monitoring Systems: Experience with enterprise-level monitoring systems is highly desirable. Platform Deployment: Build and deploy the Integrator.io platform on production, staging, and other environments as required on the cloud. Automation: Use automation tools to eliminate manual steps, including infrastructure provisioning, code deployment, and monitoring/notifications. Tool Administration: Research, deploy, and manage tools such as Splunk and Kafka to support the Integrator.io platform. Collaboration with Security & Compliance Teams: Work closely with the security team to gather data points for audits and address any identified security gaps through programs like HackerOne. CI/CD Pipeline: Design and build CI/CD pipelines for Integrator.io, collaborating with senior architects and engineers. Engineering Excellence: Continuously raise the bar of engineering excellence by implementing best practices in DevOps. The Best Candidate: Passionate about building a world-class DevOps organization. Demonstrates the ability to manage large distributed systems in production on the cloud. Understands how infrastructure components work together. Has experience working with globally distributed teams. Enjoys solving complex problems and is excited about learning new techniques in cloud-based distributed systems. Able to automate tasks using high-level programming languages. Thrives in a fast-paced, dynamic environment and is adaptable to shifting priorities. Quick to learn, and knows when to listen and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline.

Job Title: DevOps Engineer Location: Hyderabad, India About Celigo: At Celigo, we are revolutionizing the future of application integration with cutting-edge strategies and technologies. Our team is dedicated to making complex integrations seamless, and we pride ourselves on delivering innovative solutions. Our core mission is simple: enable independent, best-of-breed applications to work together seamlessly. We believe that every department and business end user should have choices when selecting software, and integration challenges should never hinder business progress. Your Role: Celigo powers integration for customers globally through our Integrator.io iPaaS platform, which handles millions of transactions daily. We own mission-critical, large-scale services in the iPaaS space, requiring us to develop and maintain highly scalable services within cloud environments. We are seeking passionate DevOps engineers who love managing modern, large-scale services in production on the cloud. Our DevOps charter focuses on enabling Development and QA teams to deliver high-quality products quickly, safely, and in compliance with our standards, using automation, tooling, and processes. As part of the DevOps team, you will work towards building a continuous value delivery pipeline and ensuring top-tier customer satisfaction. Education: Master's/Bachelor's degree in Computer Science/Engineering, Software Engineering, or a related discipline. Experience: 5-7 years of total experience in software product development organizations, with at least 4 years in a DevOps role. Cloud Skills: Hands-on experience managing mission-critical, large-scale product operations such as provisioning, deployment, upgrades, patching, and incidents in cloud production environments. Must have working knowledge of public cloud services, preferably AWS. Automation Skills: Proficient in Infrastructure as Code (IaC) using Terraform and scripting with Python/Bash. Familiar with version control systems like Git. Configuration Management: Good knowledge of configuration management and automation tools such as Chef, Ansible, Puppet. Security: Basic understanding of security compliance standards like SOC2, HIPAA, and GDPR. CI/CD Expertise: Expertise in designing, delivering, and maintaining CI/CD pipelines with tools like Jenkins. Troubleshooting & Analytical Skills: Strong problem-solving, troubleshooting, and analytical skills demonstrated in previous roles. Developer Mindset: Developer experience with an emphasis on automation and system optimization. Agile Environment: Experience working in an Agile development environment. Monitoring & Observability: Experience with enterprise-level monitoring systems is highly desirable. Communication Skills: Excellent verbal and written communication skills. Platform Deployment: Build and deploy the Integrator.io platform across various environments (Production, Staging) in the cloud. Automation: Leverage automation tools to automate infrastructure provisioning, code deployment, monitoring, and notifications. Tool Administration: Research, deploy, and manage essential tools like Splunk, Kafka, etc., to support the platform. Collaboration with Security & Compliance Teams: Work closely with the security team to gather data points for audits and address security gaps identified through programs like HackerOne. CI/CD Pipeline Design: Design and build CI/CD pipelines for Integrator.io, collaborating with senior architects and engineers. Engineering Excellence: Implement best practices in DevOps, continuously raising the standard for engineering excellence. The Best Candidate: Passionate about creating a world-class DevOps organization. Proven ability to manage large distributed systems in cloud production environments. Solid understanding of how infrastructure and software components interact. Experience working with globally distributed teams. Enthusiastic about learning new techniques in complex distributed systems and solving challenging problems on the cloud. Skilled at automating tasks using high-level programming languages. Thrives in a fast-paced, dynamic environment with shifting priorities. Quick to learn and knows when to lead and when to listen. Why You'll Love It Here: Everything Integrated: We solve a critical challenge that affects almost every business integrating cloud apps. Automation Nation: We're the only iPaaS solution that automates business processes across multiple cloud applications using a single prebuilt integration. Celigo Values: Our guiding principles foster a collaborative, innovative environment as we scale. Take A Stand: Celigo s initiative promotes diversity, equity, and inclusion within our company. Work-Life Balance: Starting from your first year, we offer three weeks of vacation, plus holidays to recharge and spend time with loved ones. Perks & Benefits: We offer a comprehensive benefits package, a tech stipend, pre-tax commuter expense reimbursement, recognition opportunities, and many other perks. Celigo is committed to equal employment opportunities 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, in compliance with legal requirements.