Chennai, India

Senior Software Engineer Location: Bangalore/Pune/Chennai Role Profile As a Senior Software Engineer, you will design and deliver high-performance, scalable solutions across our C#/.NET backend and React frontend. You will be hands-on in writing production code and guiding junior to mid-level engineers, ensuring the platform meets the highest standards of quality, security, and innovation. You may act as a Tech Lead for one of our Scrum teams, providing technical oversight and strategic direction while working collaboratively with Product, DevOps, Architecture, and other stakeholders. This role offers a balance of deep technical contribution, mentorship, and solution shaping, suited for someone who thrives on both coding and leading by example. Key Responsibilities Architecture & Development Design and optimize backend services (C#/.NET), including data models, performance, and cloud integrations (AWS). Develop and maintain React-based frontend applications, focusing on user experience, scalability, and maintainability. Drive technical decisions around geospatial data processing, mapping (e.g., Leaflet), and AWS integrations (RDS, OpenSearch, Lambda) for robust microservices. Maintain and enhance RESTful (WebAPI) or GraphQL APIs, ensuring high performance, reliability, and security. Technical Leadership Act as a Tech Lead within Scrum pods, offering architecture guidance, best practice enforcement, and strategic direction. Collaborate closely with Product Owners to refine technical requirements and sprint goals, ensuring feasible and efficient delivery. Conduct code reviews and provide mentorship to other engineers, fostering a culture of continuous learning and improvement. Champion authentication/authorization best practices (e.g., Identity Server) and ensure compliance with data protection and security standards. Agile Collaboration Work closely with Scrum Masters, DevOps, and QA in an Agile environment, participating in sprint planning, stand-ups, and retrospectives. Coordinate across teams to ensure seamless delivery of cross-functional features, aligning technical tasks with business priorities. Identify and address bottlenecks or blockers early, proactively offering solutions or workarounds. Continuous Improvement Promote best practices in design, development, testing, deployment, and operational excellence. Drive process improvements (e.g., CI/CD pipelines, automated testing, environment management) to accelerate development cycles. Stay current with emerging technologies and techniques, evaluating their potential to enhance product quality and team productivity. What We Are Looking For Essential At least 6+ years of professional software development experience (C#/.NET, JavaScript/TypeScript). Advanced knowledge of React in large-scale applications. Strong background in AWS-based microservices (Lambda, RDS, OpenSearch) with an ability to design secure, highly available systems. Proven record in leading technical initiatives or acting as a Tech Lead, providing guidance to multiple engineers. Experience with geospatial queries or mapping libraries (e.g., Leaflet) is highly beneficial. Expertise in building high-availability APIs (WebAPI, GraphQL). Excellent communication skills, with the ability to collaborate effectively in a distributed, Agile environment with both technical and non-technical stakeholders. Desirable Commercial experience working with large data volumes or streaming technologies (e.g., Kinesis, SQS, RabbitMQ). Advanced-level experience with NoSQL (Elasticsearch/SOLR) or Oracle. Familiarity with container orchestration (Docker, Kubernetes). AWS certifications (Solutions Architect, DevOps Engineer) or equivalent. Knowledge of maritime data, logistics, or risk intelligence domains.

Senior engineer who still gets to write code? Yes, that existI'm hiring a Senior Software Engineer in Chennai who wants to stay hands-on but also have a real say in how things get built. What you'll be up to👨‍💻 Writing production code in C#/.NET and React☁️ Designing scalable microservices on AWS⚡ Building fast, secure REST and GraphQL APIs🗺️ Working on geospatial and mapping problems🤝 Mentoring engineers, with a shot at leading a Scrum team as Tech Lead What helps 6+ years in software development Solid C#/.NET, React and TypeScript/JavaScript AWS and microservices experience Strong API development skills Experience mentoring or leading technical work Geospatial or mapping experience is a big bonus 📍 Chennai | Full-time | Permanent- Folks from Bangalore, Hyderabad and Pune are preferred (Remote)

Role OverviewWe are looking for a motivated, driven, and collaborative Backend Engineer to join our engineering team. The ideal candidate will have strong experience in backend development, API design and integration, Kubernetes-based deployments, and modern cloud-native application environments. This role focuses on building, deploying, and supporting scalable backend services while working closely with cross-functional teams in an Agile environment. Major Responsibilities•Design, develop, and maintain scalable backend services and APIs.•Build and integrate APIs across internal and external systems.•Deploy, manage, and troubleshoot applications running on Kubernetes clusters.•Create and maintain deployment configurations using Helm Charts and YAML.•Work with ArgoCD or similar deployment/GitOps tools for application delivery.•Monitor, debug, and resolve complex production issues.•Collaborate with engineering teams to improve system reliability, scalability, and performance.•Participate in Agile/Scrum ceremonies and contribute to technical design discussions.•Document technical solutions, requirements, and operational procedures.Must-Have Skills•Strong backend development experience using Go, Python, or similar programming languages.•Hands-on experience in API development and integration.•Experience managing and deploying applications on Kubernetes clusters.•Strong understanding of containerized application environments.•Experience with Helm Charts and YAML-based configurations.•Experience with ArgoCD or similar deployment/GitOps tools.•Strong troubleshooting, debugging, and problem-solving skills.•Experience working in Linux environments.•Knowledge of Microservices Architecture.•Experience working in Agile/Scrum teams.

Oracle EBS Application Support specialist Are you a seasoned Oracle EBS engineer who loves diving deep into database objects, troubleshooting backend integrations, and keeping mission-critical ERP systems running seamlessly? We are looking for a Senior Oracle EBS Application Support Specialist to own the stability and enhancement of our core enterprise platforms. Location: Chennai, India Role Focus: Level 2 / Level 3 Production Support Key Responsibilities L2/L3 Production Support: Troubleshoot complex batch job failures, concurrent programs, workflows, and interface errors across live production environments. Database & Technical Problem Solving: Write and debug Oracle SQL, PL/SQL packages, stored procedures, functions, triggers, and Unix shell scripts. Integrations & Operations: Monitor and resolve issues across file-based, REST/SOAP web services, and third-party integrations Financial & Supply Chain Processes: Support month-end financial closes and order fulfillment pipelines across Financials (AP, AR, GL, SLA) and/or Supply Chain (OM, PO, INV). Automation & AI: Drive operational efficiency using automation scripts, shell tools, and emerging AI-assisted support tools (Copilot, Power Automate, ChatGPT) for faster RCA and ticket resolution. What We Are Looking For Experience: 5+ years in Oracle EBS R12.1 / R12.2 application support and production engineering. Core Technical Stack: Advanced Oracle SQL, PL/SQL, Unix/Linux commands, Concurrent Processing, XML Publisher, AOL, and Oracle Workflow. Functional Modules: Strong hands-on exposure to at least 2–3 core modules across AP, AR, GL, SLA, OM, PO, or INV.

We are looking for a high-impact SAP PM & Calibration Specialist to own the intersection of maintenance and precision calibration. In this role, you won't just support a system—you’ll architect end-to-end S/4HANA solutions that keep our global units running at peak performance. Location: Gurugram Mode of Work: Hybrid Experience: 8+ years Key Responsibilities : End-to-End Implementation: Lead requirement gathering, design documentation, configuration, and unit testing for PM and Calibration scenarios. Process Mapping: Execute hands-on configuration for Preventive, Breakdown, and Corrective maintenance processes. Calibration Excellence: Map complex calibration processes in SAP, including the use of test equipment for technical assets. Technical Ownership: Develop RICEF objects, build logic, and prepare Functional Design Specifications (FDS) for developers. Platform Management: Manage master data, PM notifications, and deployments within SAP S/4HANA and Fiori apps. Required Qualifications : 8 years of core experience in SAP Plant Maintenance. End to end implementation and support experience is a must. PM and Calibration master data knowledge Hands on Configuration experience for PM and Calibration. Should have experience in maintaining, developing data objects for PM Should have experience in developing RICEF objects on their own, build logic, prepare FDS and explain the developer to have a bug free development. Proficiency in S/4HANA, Fiori apps, and interface methods Change management and System Development Life Cycle (SDLC) experience is must

Role :Senior React Native Developer Experience :6 - 8 years Location : Chennai Job Description: We're looking for a Senior Engineer to be part of our mobile development team. Beyond shipping features, you'll set technical direction for the mobile platform — release strategy, performance standards and native module decisions — and mentor other engineers on the team. Responsibilities: Design and build cross-platform mobile features in React Native with Expo, using TypeScript Own the release process and app store submissions for iOS and Android Set standards for state management, navigation, offline behavior, and API integration Profile and improve app performance: startup time, list rendering, bundle size, memory Do code, design reviews, and estimation; raise the quality bar on the team Mentor junior engineers Build and maintain CI/CD pipelines and crash/error monitoring Partner with design and product to shape scope and flag technical trade-offs early Debug production issues using crash reporting and analytics tooling Required qualifications: 5+ years of professional software engineering experience, with atleast 3+ years shipping React Native apps to production Deep React and React Native knowledge: hooks, rendering behavior, component architecture Strong TypeScript skills Hands-on Expo experience, including EAS Build/Submit/Update and the config plugin system Experience with React Navigation and a state management approach (Redux Toolkit, Zustand, Jotai, or similar) Track record of publishing and maintaining apps in the App Store and Google Play, including review processes and versioning Comfortable debugging platform-specific issues on both iOS and Android Solid grasp of REST API integration, auth flows, secure storage, and offline caching Experience mentoring engineers and driving technical decisionsInterested candidates kindly share your resume at [email protected]

Azure Databricks Engineer Job Role & Responsibilities Platform & Infrastructure: Support Databricks workspace configuration, compute resources, libraries, jobs, and cluster settings in accordance with established platform standards. Monitor and troubleshoot performance and reliability issues across clusters, jobs, notebooks, and pipelines; document findings and escalate complex issues as needed. Implement approved governance, security, compliance, and data-access controls using Role-Based Access Control (RBAC) and Unity Catalog. Pipeline Development & Architecture: Develop and maintain end-to-end data pipelines using Azure Data Factory, PySpark, SQL, and Delta Lake within a medallion architecture. Build and support batch and real-time Delta Live Tables (DLT) pipelines with a focus on reliability, scalability, and recoverability. Apply practical Lakehouse optimization techniques to improve performance, cost efficiency, and data integrity. Automate data ingestion, transformation, and validation, including streaming with Auto Loader and scheduled workflows. Perform data transformations, cleansing, reconciliation, and validation using defined data-quality rules to produce consistent and accurate datasets. Monitor job orchestration, investigate failures, support incident resolution, and implement fixes that improve pipeline reliability. CI/CD & DevOps: Develop and maintain CI/CD workflows for Databricks artifacts, including notebooks, jobs, and libraries, using Azure DevOps, GitHub Actions, Terraform, Jenkins, or similar tools. Follow established trunk-based development, deployment, automated-testing, and infrastructure-as-code practices. Use Git and related DevOps practices for version control, peer review, testing, and controlled promotion across environments. Collaboration & Delivery: Collaborate with product owners, business stakeholders, and data teams to understand requirements and translate them into practical technical solutions. Apply established practices for coding, versioning, testing, deployment, monitoring, documentation, and security. Participate in code reviews, testing, release activities, production support, and root-cause analysis with guidance from senior engineers when needed. Performance Optimization: Tune Spark jobs and SQL queries for efficient processing of large datasets. Apply appropriate partitioning, caching, file-layout, and indexing techniques to improve workload performance and scalability. Review job metrics and resource usage, identify optimization opportunities, and implement approved performance and cost improvements. Documentation & Knowledge Sharing: Create and maintain clear technical documentation for data workflows, support procedures, runbooks, configurations, and standard operating procedures (SOPs). Share troubleshooting findings, reusable code, and implementation knowledge with team members. Contribute to continuous improvement by identifying recurring issues, automation opportunities, and practical cost-saving enhancements. Specific Expertise Required 2-5 years of data-engineering experience, including hands-on work with Azure and Databricks technologies. Hands-on experience with Azure Data Factory, Databricks Lakehouse architecture, Delta Lake, PySpark, and Spark job performance tuning. Proficiency in Python and SQL for building and supporting scalable ETL/ELT pipelines; Scala experience is optional. Strong SQL skills, with hands-on experience using SQL Server or another relational database management system (RDBMS). Experience developing and supporting DLT pipelines and managing Databricks assets such as notebooks, jobs, libraries, and workspace resources. Working knowledge of Unity Catalog, RBAC, data-quality controls, pipeline monitoring, troubleshooting, and production support practices. Solid foundation in data-warehousing principles and dimensional data modeling for reporting and analytics. Experience using Git and participating in CI/CD, automated testing, and controlled deployment processes. Preferred Qualifications Databricks or Azure certifications, such as Databricks Certified Data Engineer Associate or Professional, or Microsoft Azure data-engineering certifications. Additional experience with PySpark, Spark DAG analysis, Structured Streaming, Auto Loader, and workload optimization techniques. Automation experience with CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, Octopus, Terraform, or similar tools. Familiarity with data mesh principles, data governance, and distributed architecture patterns. Exposure to observability tools, Airflow, dbt, Snowflake, Microsoft Fabric, or Fivetran is a plus. Educational Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

We are seeking an experienced Senior Azure Databricks Engineer to lead the design, development andoptimization of scalable and fault tolerant data solutions using pipelines and notebooks, implementingstrong data quality and governance solutions in Lakehouse architecture. You will work acrossengineering, analytics, and business teams to build robust, high-performant data workflows and ensurebest-in-class delivery on Azure and Databricks platforms. INDICATIVE KEY RESULT AREAS (KRAs) Platform & Infrastructure:• Oversee Databricks platform configuration, resource management, workspace structuring, andcluster optimization.• Monitor and troubleshoot performance issues across clusters, jobs, notebooks, and pipelines.• Implement governance, security, compliance and data access control using Role-Based AccessControl (RBAC) and Unity Catalog. Pipeline Development & Architecture:• Design and implement end-to-end data pipelines using PySpark, SQL, and Delta Lake withina medallion architecture using Data factory And Data bricks.• Build real-time and batch DLT pipelines using Databricks' Delta Live Tables with a focus onreliability and scalability.• Optimize Lakehouse architecture for performance, cost-efficiency, and data integrity.• Automate data ingestion, transformation, and validation, including support for streaming(Autoloader) and scheduled workflows.• Perform data transformations, cleansing and validations using data quality rules for consistentand accurate data sets.• Manage and monitor job orchestration, ensuring efficient pipelines run and reliability. CI/CD & DevOps:• Design and maintain CI/CD pipelines for Databricks artifacts (notebooks, jobs, libraries) usingtools such as Azure DevOps, GitHub Actions, Terraform or Jenkins.• Support trunk-based development, deployment workflows, and infrastructure-as-codepractices.• Manage version control and automated testing using Git and related DevOps practices. Collaboration & Delivery:• Collaborate with product owners, business stakeholders, and data teams to gather requirements and translate them into technical solutions.• Drive the adoption of best practices in coding, versioning, testing, deployment, monitoring, and security.• Provide thought leadership on the best practices in Data Engineering, Architecture and Cloud Computing. Performance Optimization:•Deliver optimized spark jobs and SQL queries for large scale data processing.•Implement partitioning, caching and indexing strategies to improve performance and scalability of big data workloads.•Conduct POCs for capacity planning and recommend appropriate infrastructure optimizations for cost effectiveness. Documentation & Knowledge Sharing:•Created detailed documentations and review them for data workflows, SOPs, Architectural reviews etc.•Mentor junior team members and promote a culture of learning and innovation.•Promote the culture of optimization and cost saving and enable research driven development. EDUCATION AND EXPERIENCE Education:Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related field.Preferred Qualifications:•Databricks or cloud certifications (e.g., Databricks Certified Data Engineer Associate/Professional, Azure Data Engineer Associate).•Advanced expertisein PySpark and Spark DAG orchestration and optimization techniques.•Automation experience with CI/CD pipelines using Azure DevOps, Jenkins, or Octopus.•Familiarity with data mesh principles, data governance,and distributed architecture patterns.•Knowledge on observability tools, Airflow, DBT, Snowflake, Fabric, Fivetran is a plus. Experience:Technical Expertise:•6+ years in data engineering, with a strong focus on Databricks and Azure ecosystems.•Deep hands-on experience with Data Factory, Databricks Lakehouse Architecture, Delta Lake, PySpark, and Spark job optimization.•Proficiency in Python, SQL, and optionally Scala for building scalable ETL/ELT pipelines.• Strong SQL skills are essential, with hands-on experience in SQL Server or other RDBMS platforms.• Strong experience in designing and optimizing DLT pipelines, managing assets like notebooks and libraries, and configuring Databricks Workspaces. Knowledge on observability tools, Airflow, DBT, Snowflake, Fabric, Fivetran is a plus.

Hiring: Senior SAP Sales / Business Development We are looking for an SAP Sales professional with strong new business acquisition / hunting experience to join our client’s growing sales team. 🔹 Experience: 4–8 years in relevant SAP Sales / Business Development🔹 Location: Mumbai🔹 CTC: Up to ₹30 LPA🔹 Industry: SAP / ERP / Technology Services Key Skills:• SAP Sales & Business Development• SAP Licence & Implementation Services Sales• RISE with SAP / GROW with SAP• New Logo Acquisition / Hunting• Enterprise & Solution Sales• CXO / Senior Stakeholder Engagement• Strong SAP customer network• SAP Partner ecosystem experience – Gold/Platinum preferred What we are looking for:Someone who is strong in hunting and new business development, has an established SAP customer network, and can independently drive opportunities from lead generation to closure. Interested candidates can DM me or share your CV at [email protected]. #Hiring #SAPJobs #SAPSales #SAPBusinessDevelopment #SAPJobsMumbai #MumbaiJobs #SAPS4HANA #RISEwithSAP #GROWwithSAP #SalesJobs #TechHiring

Experience: 3–6 yearsLocation: Bangalore / Hyderabad About the Role We are looking for an experienced MLOps/DevOps Engineer to own the infrastructure and automation that takes ML/AI models from development through to production. This role sits at the intersection of machine learning operations and core DevOps engineering, and is responsible for building reliable, automated, and observable pipelines across cloud, containers, and CI/CD. Key Responsibilities Deploy and manage ML/AI models across development, QA, and production environments Build and maintain automated pipelines for training, validation, and deployment of ML models Design, provision, and manage AWS infrastructure (VPC, EC2, IAM, ALB, S3, RDS, SQS, CloudFront, security groups) Administer Linux systems — troubleshoot processes, networking, disk/CPU/memory issues, and write automation scripts Build and maintain CI/CD pipelines in Jenkins; troubleshoot failed builds and deployments Manage containerized workloads using Docker and Kubernetes (images, deployments, services, ingress, logs, probes) Automate configuration management using Ansible Provision and manage infrastructure as code using Terraform (variables, state, modules, plan/apply, drift detection) Manage source control workflows in Git (branching, merge/rebase, conflict resolution) Manage build and artifact pipelines using Maven, npm, and Artifactory Set up and maintain monitoring and logging using ELK and CloudWatch; analyze logs, configure alerts, and troubleshoot production issues Mandatory Skill Areas MLOps & ML Model Deployment AWS Cloud & Infrastructure CI/CD, Containers & Infrastructure Automation Linux, Scripting & DevOps Engineering Monitoring, Troubleshooting & Production Support Required Skills Hands-on experience deploying ML/AI models to development, QA, or production environments Strong working knowledge of AWS core services (VPC, EC2, IAM, ALB, S3, RDS, SQS, CloudFront) Proficiency in Linux administration and Bash scripting Experience building and maintaining Jenkins CI/CD pipelines Solid understanding of Docker and Kubernetes for containerized deployments Experience with Ansible for configuration management Practical knowledge of Terraform / Infrastructure as Code Strong Git skills for version control and collaboration Familiarity with Maven, npm, and Artifactory for build and package management Experience with monitoring/logging tools (ELK, CloudWatch) and production troubleshooting