About The Opportunity Hiring for the IT / Telecom operations sector: a recruitment partner is sourcing on-site Network Monitoring Engineering talent to support large enterprise network environments across India. This role sits within 24x7 network operations and is focused on ensuring availability, performance, and rapid incident resolution for critical infrastructure. Role & Responsibilities Actively monitor network health and performance using enterprise monitoring platforms; detect, triage and resolve alarms and threshold breaches. Configure and maintain monitoring tools, SNMP polling, NetFlow/sFlow collectors and alerting rules to reduce noise and improve signal-to-noise ratio. Perform root-cause analysis on persistent incidents, create remediation actions and drive escalation to network engineering or vendor support when needed. Own incident lifecycle in ticketing systems (create, update, escalate, close) and produce concise incident reports and post-incident summaries. Generate and distribute operational dashboards and regular performance reports; recommend capacity planning and tuning changes. Maintain monitoring runbooks, SOPs and CI documentation; participate in shift handovers and on-call rotations as required for on-site operations. Skills & Qualifications Must-Have SolarWinds Nagios Zabbix Splunk SNMP NetFlow Preferred PRTG Wireshark Python Qualifications Proven experience in network monitoring, NOC, or network operations supporting enterprise networkshands-on with monitoring platforms and incident management. Familiarity with TCP/IP, routing protocols, and basic network troubleshooting methodologies. Ability to work on-site across India and participate in shift-based operations including on-call rotations. Benefits & Culture Highlights On-site role with structured shift schedules and shift allowance where applicable. Opportunities for certifications and hands-on upskilling on monitoring and observability tooling. Collaborative NOC environment focused on operational excellence and continuous improvement. Location: India (On-site). Role: Network Monitoring Engineer. Candidates with direct experience in enterprise monitoring platforms and proven incident management discipline will be prioritised. Apply to be part of a mission-critical operations team that keeps networks resilient and performant. Skills: solarwinds,splunk,nagios,zabbix,network monitoring,snmp,netflow
About The Opportunity We are hiring within the Enterprise ERP & Applications managed-services sector, supporting large-scale Oracle E-Business Suite (EBS) landscapes for enterprise customers across finance, manufacturing and retail. This on-site role is based in India and focuses on ensuring availability, performance, and secure operations of mission-critical Oracle Apps and database environments. Role & Responsibilities Administer and maintain Oracle E-Business Suite (EBS R12 and later) and underlying Oracle Database environments on-premisesperform installations, cloning, patching, and upgrades with minimal downtime. Manage Oracle Database operations including backup & recovery (RMAN), database patching, Data Guard switchover/failover, and RAC/Grid Infrastructure administration to ensure high availability. Monitor and tune database and EBS application performance using AWR/ADDM/OEM; diagnose SQL/PLSQL hotspots and implement corrective actions. Execute EBS cloning, environment refreshes, AutoConfig runs and coordinate change windows with application/infra teams to enable smooth deployments. Design, test and maintain disaster recovery and backup strategies; perform planned DR drills and validate recovery procedures and runbooks. Create and maintain operational documentation, runbooks, SOPs and deliverables for incident response, capacity planning and change management. Skills & Qualifications Must-Have Oracle E-Business Suite (EBS) administration Oracle Database (12c / 19c / 21c) Oracle RAC RMAN (backup & recovery) Data Guard Oracle Grid Infrastructure Linux/Unix administration Oracle Enterprise Manager (OEM) and AWR/ADDM Preferred Oracle GoldenGate Oracle ASM EBS cloning, OPatch and AutoConfig experience Benefits & Culture Highlights Work on enterprise-grade Oracle EBS landscapes with exposure to large cross-functional programs (on-site engagement). Opportunity to lead availability, DR and performance initiatives and contribute to operational excellence playbooks. Collaborative environment that partners DBAs with infrastructure, application and QA teams for end-to-end delivery. Location & Hiring Model : India On-site How to Apply : If you are an experienced Oracle EBS/Apps DBA who thrives on operational ownership and technical troubleshooting in on-premise enterprise environments, please apply to the role through the hiring partner listing. Skills: oracle asm,sql,shell scripting,oracle rac,oracle enterprise manager,oracle database,data guard,oracle apps dba,oracle e-business suite,rman,obiee,pl/sql
About The Opportunity We operate in the Cloud Data Warehousing & Analytics sector, delivering enterprise-grade data platform and BI solutions to global customers. Our teams build and maintain modern, scalable data warehouses and ELT pipelines that enable real-time insights, reporting, and advanced analytics. We are hiring an on-site Snowflake Data Engineer in India to design, implement and optimise Snowflake-based data platforms for business-critical analytics workloads. Role & Responsibilities Design, develop and maintain Snowflake data models and ELT pipelines to ingest, transform and curate data for analytics consumers. Build and operate Snowpipe, Streams & Tasks workflows to support continuous data ingestion and change-data-capture scenarios. Tune Snowflake schemas, queries and warehouse sizing for cost-efficiency and high-performance analytics at scale. Author robust SQL, stored procedures and UDFs; implement data validation, lineage and observability across pipelines. Collaborate with data engineers, analysts and stakeholders to translate business requirements into scalable data solutions. Implement CI/CD, code reviews and documentation standards for Snowflake objects and ELT workflows; troubleshoot production incidents. Skills & Qualifications Must-Have Snowflake SQL ELT pipelines Snowpipe Streams and Tasks Performance Tuning Preferred dbt Airflow SnowPro Certification Additional Qualifications : Bachelor's degree in Computer Science, Information Systems or equivalent; 3+ years of hands-on experience in data engineering or data warehousing, with demonstrable Snowflake projects. This is an on-site role in India. Benefits & Culture Highlights Opportunity to work on enterprise-scale Snowflake implementations and modern ELT tooling. Fast-paced, collaborative engineering environment with emphasis on ownership and best practices. Professional development support including certifications and hands-on upskilling. Skills: elt pipelines,airflow,snowflake,sql,performance tuning,dbt
About The Opportunity Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics. Primary title: Machine Learning Engineer (AI/ML Developer) — On-site role based in India. Role & Responsibilities Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation. Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning. Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD. Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques. Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed. Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts. Skills & Qualifications Must-Have Python PyTorch TensorFlow Scikit-learn SQL Docker Preferred Kubernetes AWS Additional Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, Statistics or equivalent practical experience. Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs. Comfort working on-site in India and collaborating across multidisciplinary engineering teams. Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation. Benefits & Culture Highlights Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles. Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features. Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact. To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience. Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
About The Opportunity We operate in the Cloud Data Warehousing & Analytics sector, delivering enterprise-grade data platform and BI solutions to global customers. Our teams build and maintain modern, scalable data warehouses and ELT pipelines that enable real-time insights, reporting, and advanced analytics. We are hiring an on-site Snowflake Data Engineer in India to design, implement and optimise Snowflake-based data platforms for business-critical analytics workloads. Role & Responsibilities Design, develop and maintain Snowflake data models and ELT pipelines to ingest, transform and curate data for analytics consumers. Build and operate Snowpipe, Streams & Tasks workflows to support continuous data ingestion and change-data-capture scenarios. Tune Snowflake schemas, queries and warehouse sizing for cost-efficiency and high-performance analytics at scale. Author robust SQL, stored procedures and UDFs; implement data validation, lineage and observability across pipelines. Collaborate with data engineers, analysts and stakeholders to translate business requirements into scalable data solutions. Implement CI/CD, code reviews and documentation standards for Snowflake objects and ELT workflows; troubleshoot production incidents. Skills & Qualifications Must-Have Snowflake SQL ELT pipelines Snowpipe Streams and Tasks Performance Tuning Preferred dbt Airflow SnowPro Certification Additional Qualifications : Bachelor's degree in Computer Science, Information Systems or equivalent; 3+ years of hands-on experience in data engineering or data warehousing, with demonstrable Snowflake projects. This is an on-site role in India. Benefits & Culture Highlights Opportunity to work on enterprise-scale Snowflake implementations and modern ELT tooling. Fast-paced, collaborative engineering environment with emphasis on ownership and best practices. Professional development support including certifications and hands-on upskilling. Skills: elt pipelines,airflow,snowflake,sql,performance tuning,dbt
About The Opportunity Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics. Primary title: Machine Learning Engineer (AI/ML Developer) — On-site role based in India. Role & Responsibilities Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation. Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning. Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD. Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques. Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed. Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts. Skills & Qualifications Must-Have Python PyTorch TensorFlow Scikit-learn SQL Docker Preferred Kubernetes AWS Additional Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, Statistics or equivalent practical experience. Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs. Comfort working on-site in India and collaborating across multidisciplinary engineering teams. Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation. Benefits & Culture Highlights Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles. Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features. Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact. To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience. Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
About The Opportunity Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics. Primary title: Machine Learning Engineer (AI/ML Developer) — On-site role based in India. Role & Responsibilities Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation. Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning. Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD. Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques. Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed. Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts. Skills & Qualifications Must-Have Python PyTorch TensorFlow Scikit-learn SQL Docker Preferred Kubernetes AWS Additional Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, Statistics or equivalent practical experience. Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs. Comfort working on-site in India and collaborating across multidisciplinary engineering teams. Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation. Benefits & Culture Highlights Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles. Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features. Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact. To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience. Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
About The Opportunity Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics. Primary title: Machine Learning Engineer (AI/ML Developer) — On-site role based in India. Role & Responsibilities Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation. Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning. Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD. Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques. Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed. Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts. Skills & Qualifications Must-Have Python PyTorch TensorFlow Scikit-learn SQL Docker Preferred Kubernetes AWS Additional Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, Statistics or equivalent practical experience. Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs. Comfort working on-site in India and collaborating across multidisciplinary engineering teams. Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation. Benefits & Culture Highlights Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles. Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features. Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact. To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience. Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
About The Opportunity We operate in the Cloud Data Warehousing & Analytics sector, delivering enterprise-grade data platform and BI solutions to global customers. Our teams build and maintain modern, scalable data warehouses and ELT pipelines that enable real-time insights, reporting, and advanced analytics. We are hiring an on-site Snowflake Data Engineer in India to design, implement and optimise Snowflake-based data platforms for business-critical analytics workloads. Role & Responsibilities Design, develop and maintain Snowflake data models and ELT pipelines to ingest, transform and curate data for analytics consumers. Build and operate Snowpipe, Streams & Tasks workflows to support continuous data ingestion and change-data-capture scenarios. Tune Snowflake schemas, queries and warehouse sizing for cost-efficiency and high-performance analytics at scale. Author robust SQL, stored procedures and UDFs; implement data validation, lineage and observability across pipelines. Collaborate with data engineers, analysts and stakeholders to translate business requirements into scalable data solutions. Implement CI/CD, code reviews and documentation standards for Snowflake objects and ELT workflows; troubleshoot production incidents. Skills & Qualifications Must-Have Snowflake SQL ELT pipelines Snowpipe Streams and Tasks Performance Tuning Preferred dbt Airflow SnowPro Certification Additional Qualifications : Bachelor's degree in Computer Science, Information Systems or equivalent; 3+ years of hands-on experience in data engineering or data warehousing, with demonstrable Snowflake projects. This is an on-site role in India. Benefits & Culture Highlights Opportunity to work on enterprise-scale Snowflake implementations and modern ELT tooling. Fast-paced, collaborative engineering environment with emphasis on ownership and best practices. Professional development support including certifications and hands-on upskilling. Skills: elt pipelines,airflow,snowflake,sql,performance tuning,dbt
About The Opportunity Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics. Primary title: Machine Learning Engineer (AI/ML Developer) — On-site role based in India. Role & Responsibilities Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation. Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning. Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD. Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques. Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed. Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts. Skills & Qualifications Must-Have Python PyTorch TensorFlow Scikit-learn SQL Docker Preferred Kubernetes AWS Additional Qualifications Bachelor's or Master’s degree in Computer Science, Engineering, Statistics or equivalent practical experience. Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs. Comfort working on-site in India and collaborating across multidisciplinary engineering teams. Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation. Benefits & Culture Highlights Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles. Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features. Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact. To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience. Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
About The Opportunity Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics. Primary title: Machine Learning Engineer (AI/ML Developer) On-site role based in India. Role & Responsibilities Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation. Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning. Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD. Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques. Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed. Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts. Skills & Qualifications Must-Have Python PyTorch TensorFlow Scikit-learn SQL Docker Preferred Kubernetes AWS Additional Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Statistics or equivalent practical experience. Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs. Comfort working on-site in India and collaborating across multidisciplinary engineering teams. Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation. Benefits & Culture Highlights Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles. Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features. Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact. To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience. Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
About The Opportunity Operating in the AI & Enterprise Software product engineering sector, this role sits at the intersection of applied research and production-grade system delivery. You'll join a fast-moving engineering organisation building scalable ML-driven features and services for business customers across domains such as NLP, computer vision and predictive analytics. Primary title: Machine Learning Engineer (AI/ML Developer) On-site role based in India. Role & Responsibilities Design, implement and validate ML models and experiments (classification, regression, NLP, CV) from data ingestion through evaluation. Build reproducible end-to-end pipelines for data preprocessing, feature engineering, training, evaluation and model versioning. Productionize models: containerize models, build REST/GRPC inference endpoints, and deploy to cloud or on-prem platforms with CI/CD. Optimize model performance and inference latency through quantization, batching, caching and model distillation techniques. Instrument monitoring and alerting for model drift, data quality issues and production performance; implement automated retraining workflows where needed. Collaborate with product managers, backend engineers and data teams to translate business requirements into scalable ML solutions and clear integration contracts. Skills & Qualifications Must-Have Python PyTorch TensorFlow Scikit-learn SQL Docker Preferred Kubernetes AWS Additional Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Statistics or equivalent practical experience. Proven track record (mid-level to senior) delivering ML models to production; hands-on experience with model deployment and inference APIs. Comfort working on-site in India and collaborating across multidisciplinary engineering teams. Strong command of software engineering best practices: unit testing, CI/CD, code review and documentation. Benefits & Culture Highlights Competitive compensation and performance-linked rewards aligned to market for India-based on-site roles. Focused career growth: technical mentorship, access to training, and opportunity to work on cutting-edge ML features. Collaborative engineering culture with emphasis on ownership, code quality and measurable business impact. To apply, candidates should be available to work on-site in India and be ready to demonstrate past projects or portfolio code that highlights model development and production deployment experience. Skills: pytorch,python,scikit-learn,docker,aws,sql,genai,kubernetes,tensorflow,ai ml developer
As a PostgreSQL Database Architect (DBA) at our Enterprise Software & Data Infrastructure company in India, your role will involve leading the design of Postgres platform, ensuring production operations are secure and resilient, and implementing automation at scale. **Role Overview:** You will be responsible for architecting, implementing, and operating production PostgreSQL clusters with a strong emphasis on high availability, disaster recovery, and scalability. Your expertise will be crucial in designing and maintaining replication topologies, partitioning/sharding strategies, and connection pooling for large-scale workloads. Additionally, you will play a key role in advanced performance tuning, defining backup & recovery processes, and automating provisioning and upgrades using Infrastructure-as-Code. **Key Responsibilities:** - Architect, implement, and operate production PostgreSQL clusters with a focus on high availability, disaster recovery, and scalability. - Design and maintain replication topologies, partitioning/sharding strategies, and connection pooling for large-scale workloads. - Perform advanced performance tuning including query optimization, indexing strategies, and execution-plan analysis. - Define and execute robust backup & recovery processes, run DR exercises, and validate restore procedures using tools like pgBackRest. - Automate provisioning, upgrades, patching, and runbooks using Infrastructure-as-Code and configuration management. - Establish best practices for database engineering including configuration standards, observability, capacity planning, and security hardening. **Qualifications Required:** - Proven experience managing production PostgreSQL at scale in enterprise environments. - Strong scripting skills in Bash and Python for automation and CI/CD pipelines. - Experience in defining DR plans, capacity planning, security controls, and runbook-based incident response. - Ability to work on-site in India and collaborate effectively with engineering, SRE, and security teams. If you are a senior PostgreSQL practitioner with expertise in database reliability, performance tuning, and automation, and you are comfortable working on-site in India, we invite you to apply. Join our team in modernizing critical database infrastructure and enabling data-driven products at scale. (Note: Benefits & Culture Highlights section omitted as it was not provided in the job description) As a PostgreSQL Database Architect (DBA) at our Enterprise Software & Data Infrastructure company in India, your role will involve leading the design of Postgres platform, ensuring production operations are secure and resilient, and implementing automation at scale. **Role Overview:** You will be responsible for architecting, implementing, and operating production PostgreSQL clusters with a strong emphasis on high availability, disaster recovery, and scalability. Your expertise will be crucial in designing and maintaining replication topologies, partitioning/sharding strategies, and connection pooling for large-scale workloads. Additionally, you will play a key role in advanced performance tuning, defining backup & recovery processes, and automating provisioning and upgrades using Infrastructure-as-Code. **Key Responsibilities:** - Architect, implement, and operate production PostgreSQL clusters with a focus on high availability, disaster recovery, and scalability. - Design and maintain replication topologies, partitioning/sharding strategies, and connection pooling for large-scale workloads. - Perform advanced performance tuning including query optimization, indexing strategies, and execution-plan analysis. - Define and execute robust backup & recovery processes, run DR exercises, and validate restore procedures using tools like pgBackRest. - Automate provisioning, upgrades, patching, and runbooks using Infrastructure-as-Code and configuration management. - Establish best practices for database engineering including configuration standards, observability, capacity planning, and security hardening. **Qualifications Required:** - Proven experience managing production PostgreSQL at scale in enterprise environments. - Strong scripting skills in Bash and Python for automation and CI/CD pipelines. - Experience in defining DR plans, capacity planning, security controls, and runbook-based incident response. - Ability to work on-site in India and collaborate effectively with engineering, SRE, and security teams. If you are a senior PostgreSQL practitioner with expertise in database reliability, performance tuning, and automation, and you are comfortable working on-site in India, we invite you to apply. Join our team in modernizing critical database infrastructure and enabling data-driven products at scale. (Note: Benefits & Culture Highlights section omitted as it was not provided in the job description)
About The Opportunity A rapidly growing firm in the HR Technology & Talent Solutions sector operating across India. We build data-driven recruitment analytics and talent-intelligence capabilities that enable faster, smarter hiring decisions for enterprise clients. This is an on-site opportunity for a hands-on Data Scientist to design predictive models, productionise analytics, and partner with Talent Acquisition and Product teams to deliver measurable business impact. Role: Data Scientist (Primary title: Data Scientist) Role & Responsibilities Design, develop and validate predictive models (churn, candidate fit, time-to-hire, compensation benchmarking) using structured and semi-structured HR datasets. Perform feature engineering, data cleansing and exploratory analysis to extract actionable signals from recruitment and workforce data. Build reproducible model pipelines and production-ready APIs or containers to deploy models into on-premise or cloud environments. Collaborate with product, engineering and TA stakeholders to translate business problems into analytics requirements and measurable KPIs. Monitor model performance, implement retraining strategies and set up drift detection and alerting for live models. Document experiments, maintain versioning of datasets/models, and contribute to engineering best practices for reproducibility and observability. Skills & Qualifications Must-Have Python SQL Pandas Scikit-learn TensorFlow Docker Preferred AWS MLOps NLP Benefits & Culture Highlights On-site role with exposure to cross-functional teams—product, engineering and talent advisory. Opportunity to own end-to-end analytics products and influence hiring & workforce strategy for enterprise clients. Learning-focused environment with opportunities for upskilling in MLOps and cloud platforms. Location : India — On-site We are seeking motivated, pragmatic data scientists who can move from prototype to production quickly and drive measurable outcomes for talent solutions. If you thrive on solving real-world hiring problems with ML and analytics, we want to hear from you. Skills: sql,python,docker,scikit-learn,tensorflow,pandas
About The Opportunity A rapidly growing firm in the HR Technology & Talent Solutions sector operating across India. We build data-driven recruitment analytics and talent-intelligence capabilities that enable faster, smarter hiring decisions for enterprise clients. This is an on-site opportunity for a hands-on Data Scientist to design predictive models, productionise analytics, and partner with Talent Acquisition and Product teams to deliver measurable business impact. Role: Data Scientist (Primary title: Data Scientist) Role & Responsibilities Design, develop and validate predictive models (churn, candidate fit, time-to-hire, compensation benchmarking) using structured and semi-structured HR datasets. Perform feature engineering, data cleansing and exploratory analysis to extract actionable signals from recruitment and workforce data. Build reproducible model pipelines and production-ready APIs or containers to deploy models into on-premise or cloud environments. Collaborate with product, engineering and TA stakeholders to translate business problems into analytics requirements and measurable KPIs. Monitor model performance, implement retraining strategies and set up drift detection and alerting for live models. Document experiments, maintain versioning of datasets/models, and contribute to engineering best practices for reproducibility and observability. Skills & Qualifications Must-Have Python SQL Pandas Scikit-learn TensorFlow Docker Preferred AWS MLOps NLP Benefits & Culture Highlights On-site role with exposure to cross-functional teams—product, engineering and talent advisory. Opportunity to own end-to-end analytics products and influence hiring & workforce strategy for enterprise clients. Learning-focused environment with opportunities for upskilling in MLOps and cloud platforms. Location : India — On-site We are seeking motivated, pragmatic data scientists who can move from prototype to production quickly and drive measurable outcomes for talent solutions. If you thrive on solving real-world hiring problems with ML and analytics, we want to hear from you. Skills: sql,python,docker,scikit-learn,tensorflow,pandas
About The Opportunity A rapidly growing firm in the HR Technology & Talent Solutions sector operating across India. We build data-driven recruitment analytics and talent-intelligence capabilities that enable faster, smarter hiring decisions for enterprise clients. This is an on-site opportunity for a hands-on Data Scientist to design predictive models, productionise analytics, and partner with Talent Acquisition and Product teams to deliver measurable business impact. Role: Data Scientist (Primary title: Data Scientist) Role & Responsibilities Design, develop and validate predictive models (churn, candidate fit, time-to-hire, compensation benchmarking) using structured and semi-structured HR datasets. Perform feature engineering, data cleansing and exploratory analysis to extract actionable signals from recruitment and workforce data. Build reproducible model pipelines and production-ready APIs or containers to deploy models into on-premise or cloud environments. Collaborate with product, engineering and TA stakeholders to translate business problems into analytics requirements and measurable KPIs. Monitor model performance, implement retraining strategies and set up drift detection and alerting for live models. Document experiments, maintain versioning of datasets/models, and contribute to engineering best practices for reproducibility and observability. Skills & Qualifications Must-Have Python SQL Pandas Scikit-learn TensorFlow Docker Preferred AWS MLOps NLP Benefits & Culture Highlights On-site role with exposure to cross-functional teams—product, engineering and talent advisory. Opportunity to own end-to-end analytics products and influence hiring & workforce strategy for enterprise clients. Learning-focused environment with opportunities for upskilling in MLOps and cloud platforms. Location : India — On-site We are seeking motivated, pragmatic data scientists who can move from prototype to production quickly and drive measurable outcomes for talent solutions. If you thrive on solving real-world hiring problems with ML and analytics, we want to hear from you. Skills: sql,python,docker,scikit-learn,tensorflow,pandas
About The Opportunity A rapidly growing firm in the HR Technology & Talent Solutions sector operating across India. We build data-driven recruitment analytics and talent-intelligence capabilities that enable faster, smarter hiring decisions for enterprise clients. This is an on-site opportunity for a hands-on Data Scientist to design predictive models, productionise analytics, and partner with Talent Acquisition and Product teams to deliver measurable business impact. Role: Data Scientist (Primary title: Data Scientist) Role & Responsibilities Design, develop and validate predictive models (churn, candidate fit, time-to-hire, compensation benchmarking) using structured and semi-structured HR datasets. Perform feature engineering, data cleansing and exploratory analysis to extract actionable signals from recruitment and workforce data. Build reproducible model pipelines and production-ready APIs or containers to deploy models into on-premise or cloud environments. Collaborate with product, engineering and TA stakeholders to translate business problems into analytics requirements and measurable KPIs. Monitor model performance, implement retraining strategies and set up drift detection and alerting for live models. Document experiments, maintain versioning of datasets/models, and contribute to engineering best practices for reproducibility and observability. Skills & Qualifications Must-Have Python SQL Pandas Scikit-learn TensorFlow Docker Preferred AWS MLOps NLP Benefits & Culture Highlights On-site role with exposure to cross-functional teams—product, engineering and talent advisory. Opportunity to own end-to-end analytics products and influence hiring & workforce strategy for enterprise clients. Learning-focused environment with opportunities for upskilling in MLOps and cloud platforms. Location : India — On-site We are seeking motivated, pragmatic data scientists who can move from prototype to production quickly and drive measurable outcomes for talent solutions. If you thrive on solving real-world hiring problems with ML and analytics, we want to hear from you. Skills: sql,python,docker,scikit-learn,tensorflow,pandas
About The Opportunity A rapidly growing firm in the HR Technology & Talent Solutions sector operating across India. We build data-driven recruitment analytics and talent-intelligence capabilities that enable faster, smarter hiring decisions for enterprise clients. This is an on-site opportunity for a hands-on Data Scientist to design predictive models, productionise analytics, and partner with Talent Acquisition and Product teams to deliver measurable business impact. Role: Data Scientist (Primary title: Data Scientist) Role & Responsibilities Design, develop and validate predictive models (churn, candidate fit, time-to-hire, compensation benchmarking) using structured and semi-structured HR datasets. Perform feature engineering, data cleansing and exploratory analysis to extract actionable signals from recruitment and workforce data. Build reproducible model pipelines and production-ready APIs or containers to deploy models into on-premise or cloud environments. Collaborate with product, engineering and TA stakeholders to translate business problems into analytics requirements and measurable KPIs. Monitor model performance, implement retraining strategies and set up drift detection and alerting for live models. Document experiments, maintain versioning of datasets/models, and contribute to engineering best practices for reproducibility and observability. Skills & Qualifications Must-Have Python SQL Pandas Scikit-learn TensorFlow Docker Preferred AWS MLOps NLP Benefits & Culture Highlights On-site role with exposure to cross-functional teams—product, engineering and talent advisory. Opportunity to own end-to-end analytics products and influence hiring & workforce strategy for enterprise clients. Learning-focused environment with opportunities for upskilling in MLOps and cloud platforms. Location : India — On-site We are seeking motivated, pragmatic data scientists who can move from prototype to production quickly and drive measurable outcomes for talent solutions. If you thrive on solving real-world hiring problems with ML and analytics, we want to hear from you. Skills: sql,python,docker,scikit-learn,tensorflow,pandas
About The Opportunity A rapidly growing firm in the HR Technology & Talent Solutions sector operating across India. We build data-driven recruitment analytics and talent-intelligence capabilities that enable faster, smarter hiring decisions for enterprise clients. This is an on-site opportunity for a hands-on Data Scientist to design predictive models, productionise analytics, and partner with Talent Acquisition and Product teams to deliver measurable business impact. Role: Data Scientist (Primary title: Data Scientist) Role & Responsibilities Design, develop and validate predictive models (churn, candidate fit, time-to-hire, compensation benchmarking) using structured and semi-structured HR datasets. Perform feature engineering, data cleansing and exploratory analysis to extract actionable signals from recruitment and workforce data. Build reproducible model pipelines and production-ready APIs or containers to deploy models into on-premise or cloud environments. Collaborate with product, engineering and TA stakeholders to translate business problems into analytics requirements and measurable KPIs. Monitor model performance, implement retraining strategies and set up drift detection and alerting for live models. Document experiments, maintain versioning of datasets/models, and contribute to engineering best practices for reproducibility and observability. Skills & Qualifications Must-Have Python SQL Pandas Scikit-learn TensorFlow Docker Preferred AWS MLOps NLP Benefits & Culture Highlights On-site role with exposure to cross-functional teams—product, engineering and talent advisory. Opportunity to own end-to-end analytics products and influence hiring & workforce strategy for enterprise clients. Learning-focused environment with opportunities for upskilling in MLOps and cloud platforms. Location : India — On-site We are seeking motivated, pragmatic data scientists who can move from prototype to production quickly and drive measurable outcomes for talent solutions. If you thrive on solving real-world hiring problems with ML and analytics, we want to hear from you. Skills: sql,python,docker,scikit-learn,tensorflow,pandas