Dynatrace Jobs in Chennai

Software Engineer (3) - Core Engineer 3

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking a highly skilled and motivated Software Engineer (3) - Core Engineer 3 to join our growing team in Chennai. This role will be based onsite and offers a challenging opportunity to contribute to cutting-edge technology projects within the Technology industry. Key Responsibilities The Core Engineer 3 will be responsible for the design, development, and maintenance of robust and scalable software solutions. This role requires a deep understanding of software engineering principles and a commitment to delivering high-quality code. Required Skills & Qualifications Educational Background: A B.E., B.Tech., M.C.A., or equivalent technical degree is required. Experience: A minimum of 5-6 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and debug complex software systems, as well as mentor junior engineers. Programming Languages: Proficiency in Java , Node.js , and TypeScript is essential. Frameworks & Libraries: Strong experience with Spring Boot , React , and a solid understanding of REST APIs and GraphQL . Databases: Demonstrated ability to work with PostgreSQL . Cloud Technologies: Experience with GCP is required. Version Control: Familiarity with GitHub for version control and collaborative development. Microservices Architecture: A strong understanding of Microservices architecture and its implementation. API Integration: Experience with SOAP . Testing & Quality Assurance: Proficient in TDD (Test-Driven Development) and experienced with testing frameworks such as JUnit and Selenium . Security Practices: Knowledge of DevSecOps principles and experience with security tools like SonarQube and Checkmarx . AI & Machine Learning: Familiarity with AI concepts and experience with tools like Claude . Prompt Engineering & RAG: Understanding of Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques. Web Technologies: Solid understanding of HTML5 , CSS3 , and JavaScript . UI/UX: Experience with Responsive UI Design . CI/CD: Experience with CI/CD pipelines and automation. Additional Tools: Familiarity with 42Crunch . Other: Understanding of Dynatrace . What We Offer Salary:

Machine Learning Engineer

SACHA Engineering•

Chennai

•Full-time

Machine Learning Engineer Job Description Job Summary We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and pipelines. This includes collaborating with cross-functional teams to identify and solve complex business problems using data-driven solutions. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques. Scikit-learn : Proficiency in utilizing Scikit-learn for model building, evaluation, and selection. PyTorch : Experience with PyTorch for deep learning model development and training. TensorFlow : Familiarity with TensorFlow for building and deploying large-scale machine learning models. LLM : Knowledge of Large Language Models (LLMs) and their applications. ETL : Experience with Extract, Transform, Load ( ETL ) processes for data preparation and integration. Big Query : Ability to work with Big Query for data warehousing and querying. Data Flow : Understanding of Data Flow concepts and their application in data processing. Python : Strong programming skills in Python for data analysis, machine learning, and scripting. Airflow : Experience with Airflow for orchestrating and scheduling data pipelines. PySpark : Proficiency in PySpark for distributed data processing and machine learning. SQL : Expertise in SQL for data querying and manipulation. GCS : Familiarity with Google Cloud Storage ( GCS ) for data storage and management. GitHub : Experience using GitHub for version control and collaboration. CI/CD : Knowledge of Continuous Integration and Continuous Deployment ( CI/CD ) practices. Dynatrace : Experience with Dynatrace for application performance monitoring. Analytical Skills : Exceptional analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions. Software Engineering : Solid foundation in software engineering principles and best practices. Design Practices : Understanding of software design patterns and principles. Documentation : Ability to create clear and concise technical documentation. DevOps : Familiarity with DevOps methodologies and tools. Pair Programming : Experience with Pair Programming techniques for collaborative development. TDD : Knowledge of Test-Driven Development ( TDD ) principles. Agile Ceremonies : Experience participating in Agile Ceremonies . PI Planning : Understanding of PI Planning within an Agile framework. Experience Required: 4 - 10 years of relevant experience. We are seeking a candidate with a proven track record of building and deploying machine learning solutions. This level of experience should demonstrate a strong understanding of the entire machine learning lifecycle, from data collection and preparation to model deployment and monitoring. What We Offer Salary:

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking three highly skilled and motivated Software Engineers to join our core engineering team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The ideal candidate will be a proactive problem-solver with a strong commitment to delivering high-quality, scalable, and maintainable code. Required Skills & Qualifications Core Programming Languages: Demonstrated proficiency in Java and Node.js is essential. The candidate should be comfortable writing clean, efficient, and well-documented code. Frameworks and Technologies: Experience with Spring Boot is required. Familiarity with React is also desirable. Cloud Computing: Experience with GCP is required. API Development: Strong understanding of SOAP/REST APIs and experience designing and implementing them. Testing Methodologies: A solid foundation in various testing methodologies including Unit Testing , Integration Testing , Regression Testing , UAT , and Load Testing . Experience with TDD is a plus. Testing Tools: Proficiency in using testing tools such as JUnit and Selenium . Code Quality and Security: Experience with code quality and security tools like 42Crunch , SonarQube , and Checkmarx . Understanding of DevSecOps principles. Observability and Monitoring: Experience with Monitoring , Alerting , and Observability tools, specifically Dynatrace . Version Control: Proficiency in using GitHub for version control and collaboration. Data Management: Experience with PostgreSQL and GraphQL . Artificial Intelligence: Familiarity with AI concepts, including Prompt Engineering , Retrieval-Augmented Generation , Token Optimization , and Scoped Referencing . CI/CD: Experience with CI/CD pipelines. Education: A B.E. , B.Tech. , M.C.A. , or equivalent technical degree is required. Experience: 5 years of experience is required. The candidate should be a seasoned professional capable of working independently and mentoring junior team members. What We Offer Salary:

Platform Engineering Engineer D

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Platform Engineering Engineer D to join our growing IT / Technology team. This role will focus on building and maintaining robust and scalable platforms to support our evolving business needs. The ideal candidate will possess a strong foundation in cloud technologies, automation, and a commitment to delivering high-quality solutions. Key Responsibilities The specific responsibilities for this role will be determined based on the needs of the business and will evolve over time. We expect the successful candidate to be adaptable and willing to take on new challenges as they arise. Required Skills & Qualifications To be considered for this position, candidates must demonstrate proficiency in the following areas: Programming: Demonstrated experience with Python for scripting, automation, and application development. Infrastructure as Code: Expertise in TERRAFORM for defining and managing infrastructure through code, ensuring consistency and repeatability. Configuration Management: Strong understanding and practical experience with Ansible for automating configuration management and application deployment. Cloud Platforms: Proven ability to work with and deploy solutions on major cloud platforms including AWS , Azure , and GCP . Containerization & Orchestration: Solid experience with Kubernetes and Openshift for container orchestration and management. DevOps Practices: A deep understanding of DevOps principles and experience implementing CI/CD pipelines. Monitoring & Observability: Familiarity with monitoring and observability tools such as Dynatrace , Prometheus , and Grafana . Version Control: Proficiency in using GitHub for version control and collaborative development. Operating Systems: Strong working knowledge of Linux environments. Networking: Understanding of Network Protocols & Standards . Scripting: Ability to write and maintain effective Scripting solutions. Problem Solving: Exceptional Problem Solving skills with a demonstrated ability to diagnose and resolve complex technical issues. Technical Troubleshooting: Adept at Technical Troubleshoot and root cause analysis. Communication Skills: Excellent Communication Skills , both written and verbal, to effectively collaborate with cross-functional teams. Services: Experience managing and supporting Services . Cloud Infrastructure: Solid understanding of Cloud Infrastructure principles and best practices. Storage Capacity Management: Experience with Storage Capacity Management . VMware: Familiarity with VMware virtualization technologies. Tekton: Experience with Tekton for CI/CD. Education: A Bachelor's degree in Computer Science , Information Technology , or a related field is required. Experience: A minimum of 6 years of experience in a related engineering role is expected. This level of experience should demonstrate a proven ability to design, implement, and maintain complex systems in a fast-paced environment. What We Offer Salary:

Machine Learning Engineering Engineer 2

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Machine Learning Engineering Engineer 2 to join our growing team. This role is ideal for an individual with a strong foundation in machine learning principles and a passion for building and deploying innovative solutions within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass a range of tasks related to the development, implementation, and maintenance of machine learning models and pipelines. The candidate will collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into our existing infrastructure. Required Skills & Qualifications AI/ML: Demonstrated proficiency in Artificial Intelligence and Machine Learning concepts, including model selection, training, evaluation, and deployment. Scikit-learn: Experience utilizing Scikit-learn for various machine learning tasks, including data preprocessing, model selection, and evaluation. PyTorch: Familiarity with PyTorch , a widely used deep learning framework, for building and training complex neural networks. TensorFlow: Experience with TensorFlow , another popular deep learning framework, for developing and deploying machine learning models at scale. LLM: Understanding of Large Language Models ( LLM ) and their applications. ETL: Knowledge of ETL (Extract, Transform, Load) processes for data preparation and integration. Big Query: Experience with BigQuery for querying and analyzing large datasets. Data Flow: Familiarity with Data Flow for building and managing data processing pipelines. Python: Strong programming skills in Python , a versatile language widely used in machine learning. Airflow: Experience with Airflow for orchestrating and scheduling complex data workflows. PySpark: Proficiency in PySpark for distributed data processing and machine learning. SQL: Solid understanding of SQL for data querying and manipulation. GCS: Experience with GCS (Google Cloud Storage) for storing and managing data in the cloud. GitHub: Familiarity with GitHub for version control and collaborative development. CI/CD: Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles and practices. Dynatrace: Experience with Dynatrace for application performance monitoring. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret data and draw meaningful conclusions. Software Engineering: Solid foundation in Software Engineering principles and best practices. Design Practices: Knowledge of software design patterns and principles. Documentation: Ability to create clear and concise technical documentation. DevOps: Understanding of DevOps methodologies and practices. Pair Programming: Experience with Pair Programming techniques for collaborative code development. TDD: Familiarity with TDD (Test-Driven Development) methodologies. Agile: Experience working within an Agile development environment. Education: Bachelor's Degree required. Experience: 1 - 4 years of relevant experience. This level is expected to be a mid-level contributor, capable of working independently and contributing to team goals. What We Offer Salary:

Software Engineer (3) - Core Senior Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our core team. This is a senior-level role requiring a deep understanding of software development principles and a proven ability to design, develop, and deploy scalable and reliable applications. The ideal candidate will possess a strong background in cloud technologies and a passion for building innovative solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from design and implementation to testing and deployment. The candidate will collaborate with cross-functional teams to deliver high-quality software solutions that meet business requirements. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 10 years of experience in software engineering is required. This level of experience indicates a seasoned professional capable of leading technical initiatives and mentoring junior engineers. Programming Languages: Proficiency in Java is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Cloud Computing: Extensive experience with GCP (Google Cloud Platform), including Cloud Run for containerized application deployment. Containerization & Orchestration: Strong understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes , GKE , and OpenShift . Experience with Helm for managing Kubernetes deployments is also required. CI/CD & DevOps: Solid experience with CI/CD pipelines, including tools like Tekton , Argo CD , and GitHub Actions . Familiarity with GitOps principles is a plus. Frontend Development: Experience with Angular for building modern user interfaces. API Development: Proven ability to design and implement REST APIs and Microservices architectures. Integration Patterns: Knowledge of Enterprise Integration Patterns for building loosely coupled and scalable systems. Data Management: Experience with relational databases such as AlloyDB and Cloud SQL for PostgreSQL . Cloud Security: Strong understanding of cloud security principles, including IAM , Service Accounts , Workload Identity Federation , Secret Manager , External Secrets , and Least-Privilege Access Controls . Container Security: Experience with Artifact Registry , Container Security , Binary Authorization , and Vulnerability Scanning . Deployment & Monitoring: Proficiency in Secure Deployment Practices , Cloud Logging , Cloud Monitoring , Prometheus , and Dynatrace/Grafana . Operational Skills: Ability to perform Root-Cause Analysis and implement effective Alerting systems. Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Analytical Skills: Strong Analytical Skills for problem-solving and decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical challenges. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts clearly. Networking: Understanding of Application Ingress/Egress , Load Balancing , API Routing , Shared VPC , Private Service Connect , Firewall Rules , and DNS . Connectivity: Experience with Private Connectivity and Cross-Project Communication .

ServiceNow ITOM Health Developer (Event Management & Health Log Analytics)

SACHA Engineering•

Chennai

•full time

Role Summary Implement and configure ServiceNow ITOM Health solutions with a primary focus on Event Management and Health Log Analytics (HLA) . Collaborate with architects and client SMEs to build integrations, rules, parsers, automations, and dashboards that reduce alert noise, accelerate triage, and improve service health KPIs. Key Responsibilities Configure Event Management including connectors, event rules, alert correlation, aggregation, and suppression. Build Health Log Analytics pipelines and parsers; develop patterns for anomaly detection and noise reduction. Develop Flow Designer and IntegrationHub automations for enrichment, auto-remediation, and incident/major incident workflows. Create operational dashboards, alert consoles, and service health KPIs with business service impact views. Integrate monitoring, observability, and ITSM tools using REST/SOAP APIs, MID Servers, webhooks, and adapters. Implement CMDB relationships and service maps in collaboration with Discovery and Service Mapping teams. Ensure performance and security through scoped app design, Script Includes, Glide APIs, ACLs, and encryption. Write unit tests and ATF scripts; support SIT/UAT; package deployments and tune event/log pipelines. Document configurations, runbooks, and operational handovers; support hypercare and continuous improvement. Leverage Now Assist for ITOM to accelerate triage and propose remediation where applicable. ITOM Health Scope & Practices Event ingestion, normalization, de-duplication, correlation, and noise reduction Health Log Analytics: log collection, parsing, enrichment, and anomaly detection CMDB, Discovery, and Service Mapping (CSDM-aligned) AIOps for alert clustering, probable root cause, and predictive insights Automation using Flow Designer and IntegrationHub Governance best practices including SDLC, CI/CD, and performance testing Qualifications – Must Have 5+ years of ServiceNow experience with 2+ years in ITOM Health development Strong hands-on configuration of Event Management and HLA Experience with integrations (REST/SOAP, MID Server, webhooks) JavaScript and Glide scripting expertise Practical understanding of CMDB, CSDM, and service relationships Knowledge of ITIL v4 processes and SRE KPIs (MTTD, MTTR, availability) Exposure to Now Assist for ITOM or similar AI-based operations tools Qualifications – Good to Have ServiceNow CSA (mandatory or within 3 months of joining) CIS – Event Management; CIS – Discovery and/or Service Mapping CAD and micro-certifications (IntegrationHub, Flow Designer) ITIL v4 Foundation ATF, CI/CD tools (Jenkins, Azure DevOps, GitLab) Cloud and container observability (AWS, Azure, GCP, Kubernetes) Experience in large-scale enterprise environments Additional Info NP :immediate to 15 days Location: BNG/ CHN/ HYD UK shift : 12.30 PM to 9 PM (003)

ServiceNow ITOM Health Architect (Event Management & Health Log Analytics)

SACHA Engineering•

Chennai

•full time

Role Summary Own end-to-end architecture for ServiceNow ITOM Health , covering Event Management and Health Log Analytics (HLA) . Engage with clients to lead discovery, define roadmaps, and design scalable solutions that reduce event noise, accelerate triage, and improve service health. Provide technical leadership and ensure alignment with CMDB, Service Mapping, and CSDM . Key Responsibilities Lead client discovery workshops and define success metrics (MTTD, MTTR, noise reduction). Architect event ingestion via MID Servers, SNMP, syslog, REST, webhooks, and IntegrationHub. Define normalization, de-duplication, correlation, aggregation, and CI impact policies. Implement Event Intelligence and AIOps (alert clustering, anomaly detection, PRC). Design HLA pipelines including log onboarding, parsing, enrichment, retention, and search optimization. Enable log-to-event insights and auto incident/major incident creation. Model service dependencies using CMDB and Service Mapping for accurate impact analysis. Integrate with observability tools like Dynatrace, AppDynamics, Datadog, New Relic, Splunk, Prometheus, SolarWinds. Define dashboards, health reports, executive scorecards, and operational runbooks. Establish coding standards, CI/CD, release strategy, and mentor development teams. Ensure security, RBAC, performance best practices, and compliance alignment. Provide thought leadership on Now Assist for ITOM and Gen-AI assisted operations. ITOM Health Scope & Practices Event ingestion, normalization, correlation, and noise reduction Health Log Analytics (log parsing, anomaly detection, insights) CMDB, Discovery, Service Mapping (CSDM-aligned) AIOps and predictive insights Automation with Flow Designer and IntegrationHub Governance, SDLC, CI/CD, and performance testing Qualifications – Must Have 8+ years of ServiceNow experience with 2+ years in ITOM Health architecture Strong hands-on experience with Event Management and HLA High-volume event/log architecture experience Client-facing and stakeholder management skills JavaScript, REST APIs, ACLs, MID Server design CMDB/CSDM, ITIL v4, SRE KPIs (MTTD, MTTR) Qualifications – Good to Have ServiceNow CSA (mandatory or within 3 months) CIS – Event Management / Discovery / Service Mapping CAD and IntegrationHub micro-certifications ITIL v4 Foundation CI/CD, ATF, Jenkins, Azure DevOps Cloud & Kubernetes observability experience NP :immediate to 15 days Location: BNG/ CHN/ HYD UK shift : 12.30 PM to 9 PM (004)