Build, test & deploy software s, ensure that the systems availability, security and performance are adherent to SLAs for various projects Design and implementation of the overall web architecture Ensuring the entire stack is designed and built for speed and scalability Design and deployment of various required database like SQL and NoSQL Design and construction of RESTful API in relevant back-end programming language Design, develop, test, deploy, maintain and improve software needed for various projects Use required technologies & web services to create, maintain, and upgrade code for secure, scalable, reliable, high performing applications and platforms in cloud and on-premise servers Ensuring cross-platform optimization for mobile phones and responsiveness of application Maintain and improve data models Develop test automation Work with cross-functional teams to ensure software quality Manage project priorities, deadlines and deliverables Versatile and be enthusiastic to take on new problems across the full-stack Maintain semantic version control of source, softwares & resources Enable data management: governance, regulatory compliance & privacy Enable code required for SIEM & UEBA Enable code required for ISO27001, PCI-DSS certifications of IT systems Enable authentication and authorization between multiple systems, servers, and environments Technical Skills: Angular, React, Javascript, Typescript Node JS, NPM, Socket, PubSub, API Java, Spring Boot, Hibernate, API Python, Django, Flask, API MySQL, MongoDB, PostgreSQL, Cassandra Data lakes & warehouse, SQL, HiveQL, GraphQL, Shell scripting HTML, DHTML, XML, AJAX, WSDL, SOAP, Apache Tomcat, HTML, CSS, Java Script, jQuery, Bootstrap, XML, JSON, XSL Eclipse, JDBC, Toad, Maven, Ant, Jenkins, Code Deploy, GIT, Puppet, Ansible, Apache, Nginx, Express Microservices, Docker, Kubernetes Linux, Unix, Windows, Windows Servers Soft Skills: Creative and research oriented Outcome driven Resilient and ability to learn evolving technologies required for this job description Problem solving skills Business analytical thinking Working proficiency in verbal and written English Qualifications: B.E. in C.S. or a related field and 2 to 5 years exp in 3 or more of the following: Experience working 2 or more of the following: web or mobile application development, distributed and parallel systems, Micro Services Architecture, Event driven Architecture, RESTful APIs using Swagger, In-memory computation, Parallel processing (Task & Data based approach) Experience in building web services using RESTful API in Java, Node, Python Experience in working with database connection of SQL and NoSQL for building API services Experienced in creating event-processing web services Experienced in Real-Time Streaming applications using socket and pubsub mechanism Good expertise in working with the Linux environment and shell Scripting Experienced on microservice development for continuous integration and deployments with different plugins like GitHub and Kubernetes Hands-on experience in version control tool Git for merging and branching Experience in configuration, deployment, and management of enterprise applications on Application and Web Servers Experience in performing Unit and Performance testing using Junit, JMeter and TestNG Experience in Entity-Relationship modeling for OLTP and dimension modeling for OLAP Experience in working with CSV, JSON, XML, ORC, AVRO, and Parquet file formats
Build, test, deploy & monitor IT hardware and software by automation and ensure that the systems availability, security and performance are adherent to SLAs for various projects in a rapidly changing IT environment Use required tools, technologies & services to create, maintain, and upgrade IT systems for secure, scalable, reliable, high performing applications and platforms in cloud and on-premise servers Use required tools and services for collaboration, issue tracking, cloud/IaaS/PaaS/SaaS, CI/CD/CT, package managers, source control, release orchestration, monitoring and analytics Setup, test & maintain continuous testing, continuous integration and continuous deployment pipelines Setup, test & maintain data observability pipelines Create & maintain IT infrastructure as code Enable data management: governance, regulatory compliance & privacy, disaster recovery, backup, master-slave setup. etc Enable SIEM & UEBA in our platform Enable ISO27001, PCI-DSS certifications of IT systems Maintain semantic version control of source, software s & resources Manage software licensing, upgrades and vulnerabilities Automate code review using tools like Sonar Cube Maintain updates for new product releases Work with cross-functional teams to ensure system quality Manage project priorities, deadlines and deliverables Versatile and be enthusiastic to take on new problems across the tech stack Technical Skills: Container orchestration with Kubernetes using: KOPS, Kubespray, Kubeadm & Multi-cluster Kubernetes management using: Rancher or similar Kubernetes Cluster Management - Automated provisioning system, fully automated installation, Self-healing, High-Availability, Service discovery & load balancing and Application upgrades & rollbacks Kubernetes workloads, networking, APIs, security policies, certificates, metrics, logs etc Containerization: Predominantly Docker, Knowledge on CRI-O, containerd is a plus Popular Linux distributions based desktop and server environment administration and shell scripting Jenkins, GitHub Actions, Git, Ansible, Terraform, npm, Maven, Helm Charts Observability tools: Prometheus, Grafana, ELK, APM, Sentry, Nagios AWS or Azure Certification in any above mentioned specializations is a plus Soft Skills: Creative and research oriented Outcome driven Resilient and ability to learn evolving technologies required for this job description Problem solving skills Working proficiency in verbal and written English Qualifications: B.E. in C.S. or a related field and 3 to 5 years exp in 3 or more of the following: Experience in deploying AWS cloud services like EMR, S3, Redshift, Lambda, DynamoDB, RDS, SNS, SQS, Glue, Athena, Code Deploy, Code Pipeline etc Experience in migrating and implementation of applications from on-premise to cloud using AWS or Azure web services Experience in deploying and maintaining Big data technologies in Apache Software Foundation Experience in Enterprise Kubernetes management using Rancher, AWS EKS, GKE, AKS Experience in managing Stateful and Stateless applications Experience in setting up test, staging and production environments involving multiple technology stack s Experience in deploying different system architectures: Distributed, Centralized & Federated Experience in setting up hybrid environment - private data center and public cloud endpoints to deliver hybrid clusters
Job Description: Design, develop, test, deploy, maintain and improve software needed for various projects Use required technologies & web services to create, maintain, and upgrade code for secure, scalable, reliable, high performing applications and platforms in cloud and on-premise server Maintain and improve data models Implement test infrastructure to ensure software quality Develop test automation Work with cross-functional teams to ensure software quality Manage project priorities, deadlines and deliverables Versatile and be enthusiastic to take on new problems across the full-stack Maintain semantic version control of source, software s & resources Enable data management: governance, regulatory compliance & privacy Enable code required for SIEM & UEBA Enable code required for ISO27001, PCI-DSS certifications of IT systems Technical Skills: Java, Spring Boot, Hibernate Python, Pandas, NumPy, SciPy HDFS, Apache NiFI, Airflow, Map Reduce, Sqoop, Flume, Pig, Hive, HBase, Oozie, Impala, Zookeeper, Storm, Spark, and Kafka HBase, Cassandra, MongoDB, PostgreSQL Data lakes & warehouse, SQL, HiveQL, GraphQL, shell scripting HTML, DHTML, XML, AJAX, WSDL, SOAP, Apache Tomcat, HTML, CSS, Java Script, jQuery, Bootstrap, XML, JSON, XSL Eclipse, JDBC, Toad, Maven, Ant, Jenkins, Code Deploy, GIT, Puppet, Ansible, Dockers EC2, EKS, ECR, EMR, S3, Redshift, DynamoDB, Lambda, RDS, SNS, SQS Linux, Unix, Windows 8, Windows 7, Windows Server 2008/2003 Soft Skills: Creative and research oriented Outcome driven Resilient and ability to learn evolving technologies required for this job description Problem solving skills Business analytical thinking Working proficiency in verbal and written English Qualifications: B.E. in C.S. or a related field and 3 to 5 years exp in the following: Experience working 2 or more of the following: web or mobile application development, distributed and parallel systems, Micro Services Architecture, Event driven Architecture, RESTful APIs using Swagger, In-memory computation, Parallel processing (Task & Data based approach) Experienced in creating event-processing data pipelines using Kafka and Spark Experienced in Real-Time Streaming applications using Kafka, Flume, Storm, and Spark Streaming Data ingestion, conversion, transformation, storage using Airflow, Sqoop, NiFi, Pig, Hive Good expertise in working with the Linux environment and shell Scripting Experienced on Jenkins for continuous integration and deployments with different plugins like GitHub, Maven and Kubernetes Hands-on experience in version control tool Git for merging and branching Experience in building web services using RESTful services in Java Experience in configuration, deployment, and management of enterprise applications on Application and Web Servers Experience in performing Unit and Performance testing using Junit, JMeter and TestNG Experience in Entity-Relationship modeling for OLTP and dimension modeling for OLAP Experience in working with CSV, JSON, XML, ORC, AVRO, and Parquet file formats
Job Description: Design, develop, test, deploy, maintain and improve software needed for various science projects Use required technologies to build algorithms and design experiments to merge, manage, interrogate and extract data Use machine learning tools and statistical techniques to produce solutions Maintain and improve models maturity Assess the effectiveness of data sources for both structured and unstructured data Excellent statistics and programming abilities to build machine learning and artificial intelligence models Build prediction systems Create, maintain, and upgrade ML models for secure, scalable, reliable, high performing algorithms and deploy in cloud, edge and on-premise servers Work with cross-functional teams to ensure software quality Manage project priorities, deadlines and deliverables Versatile and be enthusiastic to take on new problems Maintain semantic version control of source, software s & resources Enable data management: governance, regulatory compliance & privacy Enable code required for SIEM & UEBA Enable code required for ISO27001, PCI-DSS certifications of IT systems Technical Skills: Python, Pandas, NumPy, SciPy Matplotlib, Seaborn, ggplot, Bokeh, Plotly, geoplotlib, Folium Exploratory analysis, mathematical analysis, statistics analysis Linear Algebra, Probability Theory, Eigenvalues and Eigenvectors, Principal Component Analysis Statistics, linear regression, parameter estimation, Hypothesis testing Time sereis analysis, Exponential Smoothening, ARIMA, Auto ARIMA Regression, Multiple Linear Regression, Regularization Classification, Logistic Regression, SVM, Na ve Bayes, Random Forest, Decision Tree, KNN Clustering, K Means, C Means TensorFlow, Keras Deep learning, ANN, CNN NLP, Text Mining, Text Classifcation, Analysing Sentence Structure OpenCV, OpenVINO Database, Postgres, Clickhouse, Redis HTML, AJAX, CSS, Java Script, JSON Linux, Unix, Windows 8, Windows 7, Windows Server 2008/2003 Jenkins, Code Deploy, GIT, Puppet, Ansible, Dockers, Kubernetes Soft Skills: Creative and research oriented Outcome driven Resilient and ability to learn evolving technologies required for this job description Problem solving skills Business analytical thinking Working proficiency in verbal and written English Qualifications: B.E. in C.S. or a related field and 3 to 5 years exp in the following: Experience working 2 or more of the following: AIML algorithm development, Micro Services Architecture, Event driven Architecture, RESTful APIs using Swagger, In-memory computation, Parallel processing Experienced in data acquisition, cleaning, sampling, manipulation, visualization using Python Experienced in predictive analytics using probability, inferential statistics, linear model, advanced regression techniques Good expertise in working with supervised learning, unsupervised learning, model selection, dimensionality reduction Experienced in using graphical models like Bayesian, Markovs Experienced in text and audio based NLP Experienced in image and video based object detection and identification Experience in building deep learning algorithm using CNN, RNN Good expertise in working with the Linux environment and shell Scripting Experienced on Jenkins for continuous integration and deployments with different plugins like GitHub, Maven and Kubernetes Hands-on experience in version control tool Git for merging and branching Experience in configuration, deployment, and management of enterprise applications on Servers Experience in handling data through databases like postgres, clickhouse, redis Experience in working with CSV, JSON, XML, ORC,AVRO, and Parquet file formats