API Jobs in Hyderabad

SAP BTP Integration & Build Apps Specialist

SACHA Engineering•

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced SAP BTP Integration & Build Apps Specialist to join our team in a hybrid work mode. This role will be pivotal in designing, building, and maintaining integrations and applications on the SAP Business Technology Platform (BTP) , ensuring alignment with business requirements and adherence to security and compliance standards. Key Responsibilities The SAP BTP Integration & Build Apps Specialist will be responsible for a range of tasks including, but not limited to, the design, development, and implementation of SAP BTP -based solutions. This includes building and maintaining CI/CD pipelines , ensuring application stability , and creating comprehensive technical documentation and operational runbooks . The role also involves collaborating with cross-functional teams to ensure seamless integration with existing S/4HANA systems and adherence to audit and compliance requirements. Required Skills & Qualifications SAP BTP : Demonstrated proficiency in utilizing SAP Business Technology Platform for application development and integration. Cloud Foundry : Strong understanding and practical experience with the Cloud Foundry platform. Destination & Connectivity Services : Expertise in configuring and managing Destination & Connectivity Services for secure and reliable data exchange. XSUAA : Proficiency in utilizing XSUAA for authentication and authorization within SAP BTP environments. Cloud Identity Services (IAS/IPS) : Experience with Cloud Identity Services (IAS/IPS) for managing user identities and access. Cloud Connector : Ability to configure and manage the Cloud Connector for hybrid scenarios. CI/CD pipelines : Experience in designing and implementing CI/CD pipelines for automated build, testing, and deployment. Git : Proficient in using Git for version control and collaborative development. SAP Build Apps : Experience in developing applications using SAP Build Apps , including Logic flows & data modeling and UI/UX configuration . Role-based access configuration : Ability to configure role-based access controls to ensure data security and compliance. Mobile/web deployment : Experience in deploying applications to mobile and web environments. OData services : Understanding of OData services for data integration and exchange. REST APIs : Experience working with REST APIs for application integration. CDS exposure (consumption) : Ability to consume CDS (Core Data Services) for data access. ABAP : Familiarity with ABAP programming for custom development and integration. SAP Integration Suite : Experience with SAP Integration Suite for integration scenarios. OAuth2, SAML : Knowledge of OAuth2 and SAML for secure authentication and authorization. Certificates : Ability to manage and configure Certificates for secure communication. Event Mesh : Understanding of Event Mesh for event-driven integration. Build Apps development standards : Adherence to Build Apps development standards for code quality and maintainability. Application stability : Focus on ensuring application stability and performance. Technical documentation : Ability to create clear and concise technical documentation . Operational runbooks : Experience in developing operational runbooks for incident response and troubleshooting. Audit, Compliance, Security standards : Understanding of audit , compliance , and security standards . Clean-core extensibility concepts : Knowledge of Clean-core extensibility concepts . CAP (Cloud Application Programming Model) : Experience with CAP (Cloud Application Programming Model) . S/4HANA business processes : Understanding of S/4HANA business processes , including FI , MM , and SD . SLA : Ability to meet SLA requirements. Experience Required: The ideal candidate will possess 8-15 years of relevant experience in SAP development and integration, demonstrating a strong track record of delivering high-quality solutions. What We Offer Salary: 30 LPA

Scrum Master

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced Scrum Master to join our dynamic team in Pune. This role is crucial for ensuring the successful delivery of high-quality software solutions through the effective application of Agile principles and practices. The ideal candidate will possess a strong understanding of the software development lifecycle and a proven ability to facilitate Scrum events and remove impediments for development teams. Key Responsibilities The Scrum Master will be responsible for guiding and coaching development teams on the use of Scrum , ensuring they adhere to Agile values and principles. This includes facilitating Scrum ceremonies, such as sprint planning, daily Scrum , sprint review, and sprint retrospective. The role also involves identifying and removing impediments that hinder the team's progress, fostering a collaborative and self-organizing environment. Required Skills & Qualifications Understanding of Software Development Lifecycle (SDLC): A comprehensive understanding of the various phases of the software development lifecycle, from inception to deployment and maintenance. Agile Engineering Practices: Demonstrated proficiency in Agile methodologies, particularly Scrum , and the ability to coach teams on their effective implementation. Common Engineering Workflows: Familiarity with standard engineering workflows, including version control, code review, and continuous integration. Web Application Technologies: Knowledge of technologies used in web application development, including Angular . Mobile Application Technologies: Understanding of technologies used in mobile application development. Desktop Application Technologies: Understanding of technologies used in desktop application development, including C# , .NET , and WPF . Ability to Work with Technical Leads: Proven ability to collaborate effectively with technical leads to ensure alignment on technical direction and execution. DevOps Tools & Workflows: Experience with DevOps tools and workflows, including CI/CD . Backlog Tools: Proficiency in using Backlog tools such as Jira and Azure Boards to manage product and sprint backlogs. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly and concisely convey technical information to both technical and non-technical audiences. English: Fluency in English, both written and spoken. Estimation, Dependencies, Risks: Ability to facilitate discussions and guide teams in estimating tasks, identifying dependencies, and assessing risks. Metrics: Understanding of key Scrum metrics, including Velocity , Burndown , and Flow Efficiency . Scrum Artifacts: Deep understanding of Scrum artifacts, including the Product Backlog , Sprint Backlog , and Increment . Technical Execution & Craftsmanship: Appreciation for Technical Craftsmanship principles, Clean Code , and Maintainability . Testing Approach & System Stability: Understanding of testing approaches and their impact on System Stability . System Integration Concepts: Knowledge of API and Cloud concepts and System Integration concepts. Experience Required: The ideal candidate will have 4-6 years of experience in a related role, demonstrating a solid foundation in software development and Agile practices. This level of experience is expected to provide a strong understanding of team dynamics and the ability to effectively facilitate Scrum events and remove impediments. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

SR. Salesforce Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and experienced Senior Salesforce Developer to join our team. This is a hybrid role requiring a blend of on-site collaboration and remote work. The ideal candidate will possess a strong understanding of the Salesforce platform and a proven ability to design, develop, and implement custom solutions. Key Responsibilities The Senior Salesforce Developer will be responsible for the full lifecycle of Salesforce development, from requirements gathering and design to implementation, testing, and deployment. This includes collaborating with stakeholders to understand business needs and translating them into effective Salesforce solutions. Required Skills & Qualifications Apex : Demonstrated proficiency in Apex programming, including the ability to write efficient, well-documented, and testable code. LWC : Expertise in building modern user interfaces using LWC (Lightning Web Components), ensuring responsiveness and optimal performance. Visualforce : Solid understanding of Visualforce , including the ability to create custom pages and components. Salesforce Application Development : Comprehensive knowledge of the Salesforce platform and its capabilities, with a proven track record of developing custom applications. Salesforce Configuration : Ability to configure Salesforce out-of-the-box features and customize the platform to meet specific business requirements. Deployment and Release Management : Experience with deployment and release management processes, ensuring smooth and controlled deployments to production environments. Automation : Ability to leverage Salesforce 's automation tools, such as Process Builder and Flow , to streamline business processes. Jira : Familiarity with Jira for issue tracking and project management. Salesforce API : Strong understanding of Salesforce API and the ability to integrate Salesforce with other systems. Experience Required: 10 - 20 years of experience in Salesforce development. This level of experience indicates a senior-level role requiring a high degree of autonomy, leadership, and the ability to mentor junior developers. The candidate should be able to handle complex projects and provide technical guidance to the team. What We Offer Salary: 28 LPA

Test Architect – Functional, Automation & Performance Testing

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and experienced Test Architect to join our team. This role will focus on developing and implementing comprehensive testing strategies encompassing functional, automation, and performance testing. The ideal candidate will possess a strong understanding of quality engineering principles and a proven ability to design and execute effective testing frameworks. Key Responsibilities The Test Architect will be responsible for the design, implementation, and maintenance of testing strategies and frameworks. This includes defining quality gates, establishing metrics, and ensuring adherence to best practices. The role will also involve collaboration with cross-functional teams to ensure the delivery of high-quality software releases. Required Skills & Qualifications Test Strategy: Demonstrated ability to develop and execute comprehensive test strategies aligned with business objectives and project requirements. Quality Engineering Architecture: Expertise in designing and implementing quality engineering architectures that support scalable and reliable testing processes. Functional Testing: Proficient in functional testing methodologies to ensure software meets specified requirements. Regression Testing: Experience in designing and executing regression testing suites to identify and prevent regressions. Automation Testing: Strong skills in automation testing, including the ability to design, develop, and maintain automated test scripts. API Testing: Knowledge of API testing techniques to validate the functionality and performance of APIs. Integration Testing: Experience in integration testing to ensure seamless integration between different software components. Performance Testing: Expertise in performance testing methodologies to identify and address performance bottlenecks. Non-Functional Testing: Understanding of non-functional testing aspects, including security, usability, and reliability. CI/CD Integration: Experience integrating testing processes into CI/CD pipelines. Performance Engineering: Ability to apply performance engineering principles to optimize software performance. Quality Gates: Ability to define and implement quality gates to ensure release quality. Metrics & Reporting: Experience in defining and tracking key testing metrics and generating comprehensive reports. Best Practices: Deep understanding of software testing best practices. Automation Frameworks: Experience with various Automation Frameworks . Reusability & Maintainability: Ability to design test automation frameworks with a focus on reusability and maintainability. Service Virtualization: Knowledge of Service Virtualization techniques for creating realistic testing environments. AI-Assisted Testing: Familiarity with AI-Assisted Testing concepts and tools. QE Practices: Strong understanding of QE Practices . Defect Prevention: Ability to identify and implement strategies for defect prevention. Release Quality: Commitment to ensuring high-quality software releases. Analytical Skills: Strong analytical skills to analyze test results and identify root causes of defects. Problem-Solving Skills: Excellent problem-solving skills to effectively troubleshoot and resolve testing issues. Communication Skills: Effective communication skills to clearly and concisely communicate testing results and recommendations. Test Architect: Demonstrated experience and expertise as a Test Architect . Experience Required: 9 - 16 years of experience in software testing, with a focus on test architecture and design. This level of seniority requires a proven track record of leading testing initiatives and mentoring junior team members. What We Offer Salary: 30 LPA

Java Backend Developer

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Exp: 6+ Location: Any CGI Budget : 22 LPA Kotlin Java 21 JPA in combination with Hybernate Relational databases / SQL Spring Framework 6 Open API and Open API code generation REST APIs Database migrations via Flyway GitHub Actions Azure Environment Gradle as build system JUnit 5 for unit tests Testcontainers End-2-end tests using Playwrite Soft skills High degree of independence Willingness and ability to acquire knowledge on their own Open communication with team and client