Job description We are looking for a skilled Datadog Observability Engineer to enhance and maintain our cloud infrastructure's observability and performance monitoring capabilities. The ideal candidate will bring strong experience in DevOps practices, AWS infrastructure, and infrastructure as code using Terraform, with a specific focus on deploying and managing observability toolsprimarily Datadog. Requirements and Qualifications: 5+ years of hands-on experience in DevOps or Site Reliability Engineering Proven expertise in implementing observability strategies using Datadog Strong experience with AWS services (EC2, ECS, CloudWatch, Lambda, etc.) Proficiency in Terraform for infrastructure automation Solid knowledge of monitoring, logging, alerting, and performance tuning Experience integrating observability into CI/CD pipelines Familiarity with containerization (Docker, Kubernetes) is a plus Strong analytical, troubleshooting and excellent communication skills Roles and Responsibilities: Design, implement, and maintain observability solutions using Datadog Develop dashboards, alerts, and monitors to provide actionable insights into infrastructure and applications Collaborate with development and DevOps teams to define SLAs, SLOs, and error budgets Optimize AWS resource utilization and observability configurations Automate monitoring infrastructure setup using Terraform Conduct root cause analysis of performance and availability issues Ensure best practices in logging, metrics collection, and distributed tracing Provide support during incident response and postmortem processes Keep observability tooling up to date with platform and business needs. Location - Remote in India, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad. Role: Site Reliability Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills DevOpsTerraformDatadogAWSObservability Infrastructure as CodeDockerCI/CDSite Reliability EngineeringKubernetes

Job description We are looking for a skilled Datadog Observability Engineer to enhance and maintain our cloud infrastructure's observability and performance monitoring capabilities. The ideal candidate will bring strong experience in DevOps practices, AWS infrastructure, and infrastructure as code using Terraform, with a specific focus on deploying and managing observability toolsprimarily Datadog. Requirements and Qualifications: 5+ years of hands-on experience in DevOps or Site Reliability Engineering Proven expertise in implementing observability strategies using Datadog Strong experience with AWS services (EC2, ECS, CloudWatch, Lambda, etc.) Proficiency in Terraform for infrastructure automation Solid knowledge of monitoring, logging, alerting, and performance tuning Experience integrating observability into CI/CD pipelines Familiarity with containerization (Docker, Kubernetes) is a plus Strong analytical, troubleshooting and excellent communication skills Roles and Responsibilities: Design, implement, and maintain observability solutions using Datadog Develop dashboards, alerts, and monitors to provide actionable insights into infrastructure and applications Collaborate with development and DevOps teams to define SLAs, SLOs, and error budgets Optimize AWS resource utilization and observability configurations Automate monitoring infrastructure setup using Terraform Conduct root cause analysis of performance and availability issues Ensure best practices in logging, metrics collection, and distributed tracing Provide support during incident response and postmortem processes Keep observability tooling up to date with platform and business needs. Location - Remote in India, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad. Role: Site Reliability Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills DevOpsTerraformDatadogAWSObservability Infrastructure as CodeDockerCI/CDSite Reliability EngineeringKubernetes

Job description We are looking for a skilled Datadog Observability Engineer to enhance and maintain our cloud infrastructure's observability and performance monitoring capabilities. The ideal candidate will bring strong experience in DevOps practices, AWS infrastructure, and infrastructure as code using Terraform, with a specific focus on deploying and managing observability toolsprimarily Datadog. Requirements and Qualifications: 5+ years of hands-on experience in DevOps or Site Reliability Engineering Proven expertise in implementing observability strategies using Datadog Strong experience with AWS services (EC2, ECS, CloudWatch, Lambda, etc.) Proficiency in Terraform for infrastructure automation Solid knowledge of monitoring, logging, alerting, and performance tuning Experience integrating observability into CI/CD pipelines Familiarity with containerization (Docker, Kubernetes) is a plus Strong analytical, troubleshooting and excellent communication skills Roles and Responsibilities: Design, implement, and maintain observability solutions using Datadog Develop dashboards, alerts, and monitors to provide actionable insights into infrastructure and applications Collaborate with development and DevOps teams to define SLAs, SLOs, and error budgets Optimize AWS resource utilization and observability configurations Automate monitoring infrastructure setup using Terraform Conduct root cause analysis of performance and availability issues Ensure best practices in logging, metrics collection, and distributed tracing Provide support during incident response and postmortem processes Keep observability tooling up to date with platform and business needs. Location - Remote in India, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad. Role: Site Reliability Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills DevOpsTerraformDatadogAWSObservability Infrastructure as CodeDockerCI/CDSite Reliability EngineeringKubernetes

We are seeking a Java Developer responsible for designing, developing, and maintaining scalable Java applications. The ideal candidate should have experience in Core Java, Spring Boot, REST APIs, and database integration, with a strong understanding of the software development lifecycle. Key Skills: ✔ Core Java ✔ Spring/Spring Boot ✔ RESTful APIs ✔ Hibernate/JPA ✔ SQL/NoSQL Databases ✔ Git & Agile methodologies

Job description Primary Objective: To lead a team of Java developers, manage end-to-end technical delivery of projects, and ensure high-quality, scalable, and secure solutions aligned with business goals. Key Roles and Responsibilities: 1. Technical Leadership Lead and mentor the development team in designing, developing, testing, and deploying Java-based applications. Review code and ensure adherence to best practices, design patterns, and coding standards. Make high-level design and architecture decisions based on scalability, performance, and maintainability. Collaborate with cross-functional teams including QA, DevOps, UI/UX, and Product Managers. 2. Project & Team Management Allocate tasks to team members and monitor progress to ensure timely delivery. Conduct daily standups, sprint planning, and retrospectives using Agile/Scrum methodologies. Monitor team performance, provide guidance, resolve conflicts, and foster a collaborative environment. Identify training needs and help upskill team members. 3. Stakeholder Communication Act as the point of contact between developers, senior management, and clients. Translate business requirements into technical specifications. Provide project updates, technical insights, and risks/issues to stakeholders. 4. Solution Design & Architecture Design scalable and modular backend solutions using Java (Spring Boot, Hibernate, etc.). Participate in database design, third-party integration, and cloud strategy (e.g., AWS, Azure). Define system architecture, performance benchmarks, and optimization strategies. 5. Quality & Process Compliance Ensure all deliverables are of high quality, following testing and code review processes. Enforce version control practices (e.g., Git) and CI/CD pipelines. Drive adoption of DevOps practices and tools for smoother deployment. 6. Risk & Issue Management Identify project risks early and implement mitigation strategies. Troubleshoot critical issues and provide timely resolutions. 7. Documentation & Reporting Maintain technical documentation, including design documents, API documentation, and deployment guides. Prepare and present status reports and project documentation. Required Skills & Experience: Strong experience in Java/J2EE, Spring Boot, REST APIs, Hibernate/JPA, Microservices. Experience in frontend frameworks is a plus (e.g., Angular/React). Hands-on with SQL/NoSQL databases, cloud platforms, containerization (Docker/Kubernetes). Proven track record of leading development teams (515 members). Good knowledge of SDLC, Agile, Scrum, and software engineering best practices. Excellent communication, leadership, and decision-making skills. Role: IT Project Manager Industry Type: IT Services & Consulting Department: Project & Program Management Employment Type: Full Time, Permanent Role Category: Technology / IT Education UG: B.Tech/B.E. in Any Specialization PG: M.Tech in Any Specialization, MCA in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills IT Program Managementjava full stackJava TechnologiesScrumIT Project Management WaterfallPMP TrainedSDLC Life CycleTechnical Program ManagementSDLCProject Life CycleDelivery ManagementTechnical Project ManagementAgile MethodologyAgile

Job description Overview We are looking for a Data Engineering Lead who thrives in solving complex data challenges and building scalable, high-performance data solutions. This role is ideal for someone with deep expertise in Databricks, PySpark, SQL, and cloud data platforms such as AWS or Azure. You will lead a team of skilled data engineers to design and implement robust, cloud-native data pipelines and drive data architecture strategy that empowers real-time and strategic business decisions. If you are passionate about big data, cloud technologies, and mentoring engineers while building impactful solutionswe want you on our team! Key Responsibilities Lead the design and implementation of scalable data pipelines using Databricks and PySpark Build efficient ETL/ELT processes for seamless data ingestion and transformation across systems Work with product and analytics teams to gather and translate business data requirements into technical solutions Architect and optimize cloud-based data lakes and warehouses on AWS or Azure Guide and mentor junior data engineers, conduct code reviews, and enforce coding best practices Continuously evaluate and integrate new tools, technologies, and frameworks to enhance data workflows Ensure data integrity, security, and compliance across all solutions Collaborate cross-functionally with data scientists, analysts, and DevOps teams Drive performance tuning and operational excellence in deployed pipelines and data infrastructure Contribute to defining and executing the long-term data strategy for the organization Required Skills Experience 4+ years of hands-on experience in Databricks, PySpark, and SQL on AWS or Azure Strong programming skills in Python with good understanding of software engineering principles Solid knowledge of data warehousing concepts, structured/unstructured data, and big data ecosystems Proven experience with cloud data lakes and data pipeline development in a production environment Expertise in building ETL/ELT workflows, including orchestration and automation Experience designing data models that support reporting, analytics, and machine learning Familiarity with DevOps practices, CI/CD pipelines, and version control systems (e.g., Git) Excellent problem-solving, analytical thinking, and communication skills Proven ability to lead and mentor technical teams in a collaborative environment Preferred Qualifications Experience with Apache Airflow, Delta Lake, Snowflake, or Azure Synapse Understanding of data governance, lineage, and compliance practices Familiarity with Agile/Scrum methodologies Exposure to real-time streaming data technologies such as Kafka, Spark Streaming Location: Bangalore, Gurgaon, Pune, Mumbai, Delhi, Chennai, Hyderabad, Kolkata, Noida, Ahmedabad Notice Period: Immediate to 15 Days Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Data Engineering Azure SynapseApache AirflowCI/CD pipelinesPySparkDelta LakeSnowflakeDatabricks

Job description You will Design, develop and support SAP Composite Applications in SAP SUP (Sybase Unwired Platform), Sybase Afaria and Syclo's Agentry Mobile Platform. Assist clients in selection and implementation of mobility products Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5-8 years of experience required. Proven knowledge in Enterprise Mobility Architecture. Design and Development of Mobile Apps, FIORI. Experience with designing application in any of the platforms as iOS(I-phone Operating System), Android, Blackberry, and Windows Mobile, incorporating mobile UI(User Interface)/UX(User Experience) concepts. Experience in developing reusable artifacts/frameworks, re-usable assets, Industry solutions, reference architecture Preferred technical and professional experience Preferred to have knowledge on languages like Java, Objective-C, HTML5, CSS(Cascading Style Sheets), and JavaScript. Understands how SAP Mobility fits into comprehensive, innovative SAP solutions and strategies Role: Front End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills cssjavahtmluxjavascript adobe formssap implementationsap supportiossyclosap crmsap consultingodatasap wmplant maintenanceuialv reportssap mmsap hanasap mobilecsapsybasesap fiorisapui5smartformssap abapsap pmabapoo abap

Job description You will Design, develop and support SAP Composite Applications in SAP SUP (Sybase Unwired Platform), Sybase Afaria and Syclo's Agentry Mobile Platform. Assist clients in selection and implementation of mobility products Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience required. Proven knowledge in Enterprise Mobility Architecture. Design and Development of Mobile Apps, FIORI. Experience with designing application in any of the platforms as iOS(I-phone Operating System), Android, Blackberry, and Windows Mobile, incorporating mobile UI(User Interface)/UX(User Experience) concepts. Experience in developing reusable artifacts/frameworks, re-usable assets, Industry solutions, reference architecture Preferred technical and professional experience Preferred to have knowledge on languages like Java, Objective-C, HTML5, CSS(Cascading Style Sheets), and JavaScript. Understands how SAP Mobility fits into comprehensive, innovative SAP solutions and strategies Role: Front End Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills cssjavahtmluxjavascript adobe formssap implementationsap supportiossyclosap crmsap consultingodatasap wmplant maintenanceuialv reportssap mmsap hanasap mobilecsapsybasesap fiorisapui5smartformssap abapsap pmabapoo abap

Job description As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythondata processingpysparkdata modelingspark data analysismicrosoft azuredata warehousingcloud platformsnumpydata engineeringsqlpandasspring bootetl pipelinesjavagcpkafkadata warehousing conceptshadoopbig dataawsetl

Job description As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities includeComprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Java 8 and above SpringBoot, Rest API and Containerization with Docker. Development experience in Java. Good communication skills. Any cloud exposure AWS/GCP/Azure Preferred technical and professional experience Creative Problem solving skills Good communication skills Role: Site Reliability Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills dockerjavagcpspring bootaws kubernetesansiblemicroservicesspringgitdevopspaaslinuxjenkinscloud computingrestpythonsoftware testingvmwaremicrosoft azureinfrastructure architecturepuppethybrid cloudsaasprivate cloudiaas