104903 Python Jobs - Page 30

Database Engineer Mohali, Noida, Bangalore/ India 2+ years experience 1 Position Job Information: Work Experience: 2+ years Industry: IT Services Job Type: FULL TIME Location: Mohali, Noida, Bangalore / India Role Overview: We are seeking a proactive and eager-to-learn NoSQL DBA and Data Warehouse Specialist with a focus on the Amazon Web Services (AWS) ecosystem. In this role, you will support the management of cloud-native databases and assist in building and maintaining the customer s data warehouse infrastructure on AWS. This position offers a hands-on opportunity to grow in the fields of cloud database administration and modern data architecture. Key Responsibilities: AWS NoSQL Database: Assist in maintaining AWS-managed NoSQL databases such as Amazon DynamoDB, Amazon ElastiCache (Redis/Memcached), and Amazon DocumentDB. Monitor database metrics using Amazon CloudWatch and basic performance tools. Help manage database backup, recovery, and security configurations using AWS Backup and IAM roles/policies. Collaborate with DevOps teams to support database deployments via AWS CloudFormation or Terraform. AWS Data Warehouse: Support the implementation and maintenance of data warehouse solutions using Redshift and Databricks. Help build and monitor ETL/ELT pipelines using AWS Glue, Amazon S3, Lambda, and Step Functions. Assist in data loading, cleaning, validation, and documentation. Work with BI and analytics teams to provide clean, query-ready datasets for reporting. Requirements: Technical Skills: Bachelor s degree in Computer Science, Data Engineering, or a related field (or equivalent experience). Familiarity with AWS services, especially DynamoDB, S3, Lambda, and Redshift. Basic understanding of SQL and NoSQL database concepts. Exposure to scripting languages such as Python or Bash. Understanding of core AWS concepts: IAM, VPC, CloudWatch, and S3. Soft Skills: Strong attention to detail and a passion for learning cloud technologies. Good problem-solving and troubleshooting skills. Ability to take direction, collaborate, and communicate effectively. Comfortable working in a fast-paced, team-oriented environment. Preferred Skills : AWS Certified Cloud Practitioner or working towards AWS Developer/Database certifications. Experience with AWS Glue or Step Functions. Internship or academic project using AWS services or cloud databases. Exposure to data visualization tools like QuickSight, Tableau, or Power BI. Interview Process Internal Assessment Technical Round 1 Technical Round 2

Technologies: Scripting Languages (Shell, Bash, Python) Build Management: Bamboo, GitHub Action, Jenkins, Ant, Maven. Config Management: Terraform, Ansible, Puppet Responsibilities: Lead and Mentor DevOps engineers Build and establish best DevOps industry practices Build, improve, and mature automated continuous integration (CI) and continuous delivery (CD) release pipelines that package, test, and deploy code Measure the improvements in CI-CD pipelines Build automation framework to help release management Provide support to the build and release needs of agile teams Responsible for change management, getting timely approvals for all production changes Evaluate and onboard new tools as needed for CI-CD Provide release support for enterprise initiatives, upgrades, production hotfixes Develop/enhance environment strategy & management Create/maintain infrastructure inventory and maintain software/version levelsCreate/maintain release history for all environments Plan and coordinate availability of non-production environments and its allocation Schedule environment refresh and coordinate with relevant teams including "SRE"s Schedule maintenance work and coordinate with relevant teams Act as point of escalation for non-production platform issues and drive the issue to closure Coordinate infrastructure upgrades and changes with the Infrastructure Team Document knowledge articles and create/maintain a knowledge repository Available during non-core hours such as an early morning or late night, especially during release, etc. Qualifications: 10+ years of experience in build and release and/or DevOps engineering Hands on experience in source control management, branching and merging strategies (Bitbucket preferred) Hand on experience developing and supporting CI/CD pipelines (Bamboo/GitHib Actions preferred) Hands on experience in environmental management, environment provisioning, and support Experience with agile processes, including experience with Atlassian tools (Confluence and Jira Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

As a Software Engineer II at JPMorgan Chase within the Employee Platform, you will leverage your creative and analytical skills to support and enhance application systems vital to the firms daily operations. Collaborating with teams, you will engage in diverse projects centered around design or programming, depending on your expertise. You will learn to address application and data issues, while gaining experience in software development, testing, deployment, maintenance, and improvement, alongside production lifecycle methodologies and risk guidelines. This role offers you the chance to advance professionally and explore various career paths. Job responsibilities Participates in triaging, examining, diagnosing, and resolving incidents and work with others to solve problems at their root. Participate in weekend support rota to ensure adequate business support coverage during core hours and weekend (rota basis) as part of a global team. Assist in the monitoring of production environments for anomalies and address issues utilizing standard observability tools. Identify issues for escalation and communication and provide solutions to the business and technology stakeholders. Participates in root cause calls and drives actions to resolution with a keen focus on preventing incident. Recognizes the manual activity within your role and proactively works towards eliminating it through either system engineering or updating application code. Required qualifications, capabilities, and skills Formal training or certification on Software Engineering concepts and 2+ years applied experience Experience in observability and monitoring tools and techniques. Experience with one or more general purpose programming languages (Python or C#) and/or automation scripting (PowerShell Script) Experience in observability and monitoring tools and techniques. Familiar with tools such as Splunk, ServiceNow, Dynatrace, etc. Experience in CI/CD tools like Jenkins, Bitbucket, GitLab, Terraform Eagerness to participate in learning opportunities to enhance one s effectiveness in executing day-to-day project activities. Hands-on practical experience in system design, application development, testing, and operational stability Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Experience and understanding of Genetec Security Desk Understanding of cloud infrastructure Familiarity with modern front-end technologies Exposure to cloud technologies

As a Software Engineer III at JPMorgan Chase within the Consumer and community banking- Wealth management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Pyhton AWS, Gen AI/ML Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As a Quant Analytics Associate within the Card Data and Analytics team, you will leverage your expertise in data engineering, analysis, and modeling to advance our credit card acquisition strategies. You will develop predictive models, create data assets, and refine processes to support acquisitions forecasts and offers. This individual contributor role is integral to driving the growth of our credit card portfolio through quantitative methods and data exploration. Job Responsibilities Provide tactical support and strategic oversight to Product, Marketing, Finance, and Risk teams for credit card acquisitions. Develop actionable data-driven insights for marketing campaigns. Leverage and develop data assets to improve acquisitions forecast quality. Support business goals by developing reports for senior leaders to monitor key performance metrics. Enhance efficiency and effectiveness by identifying and closing gaps in processes and systems. Ensure business continuity by adopting standards and best practices. Stay current with industry trends and emerging technologies. Required Qualifications, Capabilities, and Skills Degree in a quantitative discipline (e. g. , engineering, mathematics, computer science). 4+ years of experience in data/decision science, forecasting, data management/engineering, and business intelligence. Proficiency in data ETL, analysis, visualization, and change management using tools like Snowflake, SAS, Python, R, Alteryx, Tableau, GitHub, Excel, PowerPoint. Ability to communicate clearly to audiences of varying technical levels. Preferred Qualifications, Capabilities, and Skills Experience with causal inference and machine learning techniques, including developing and deploying quantitative models. Professional experience in consumer banking, lending, or similarly regulated industries.

At Chief Data Analytics Office, we drive our firm s strategic investments in AI/ML and data-oriented tools and capabilities. Our Platform Engineering team is at the forefront of building innovative platforms, automating infrastructure operations, and enabling Agentic-based AIOps platforms. Our mission is to enhance scalability, security, and reliability for CDAO-hosted managed services. As a Principal Software Engineer (Cloud Platforms) at JPMorgan Chase within the Cloud Platforms division, you will be responsible for providing technical direction and collaborating with an agile team to improve, develop, and deliver tools and platform products in a secure, stable, and scalable manner. Your advanced technical abilities and interpersonal skills will be utilized to work with partners and stakeholders across the organization, promoting top-tier results across various cloud tooling and platform development initiatives. Your role will be pivotal in promoting performance optimization and efficiency improvements across the entire engineering organization by building, enhancing, and operating platforms at scale. Job responsibilities Provide technical leadership and guidance to the cloud engineering team Lead the design and development of the cloud infrastructure offerings and platform tools, ensuring that they are secure, scalable, and reliable Stay up-to-date with the latest advancements in cloud technologies and bring in recommendations for adoption and implementation of new tools/technologies Develop secure and high-quality production code, perform code reviews and debug issues Partner with development teams who create our customer experience to identify and eliminate bottlenecks Analyze performance characteristics of systems across our platform and improve resiliency and security posture Gather insights and provide actionable intelligence to optimize infrastructure usage and costs Design and develop scalable AIOps solutions to support AI/ML and Data Platforms Implement data pipelines and workflows to collect, process, and analyze large volumes of platform data in real-time Ensure the reliability, availability, and performance of the AIOps platform through effective monitoring and maintenance Develop and deploy agentic systems and agents to automate routine tasks and processes, enhancing operational efficiency Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 10+ years applied experience Proven experience in platform engineering, with a focus on AI/ML technologies and IT operations Formal training or certification on software engineering concepts and 7+ years applied experience Hands-on experience with one or more cloud computing platform providers AWS/Azure/GCP Advanced knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS etc. ) Hands-on experience with Cloud Infrastructure Provisioning Tools like Terraform, Pulumi, Crossplane etc. Proficiency with programming languages like Golang/Python and understand software development best practices Hands-on experience with CI/CD/SCM tools like Jenkins, Spinnaker, Bitbucket / Github etc. and with logging and monitoring tools Splunk, Grafana, Datadog, Prometheus etc. Deep understanding of cloud infrastructure design, architecture and cloud migration strategies Strong knowledge of cloud security best practices, shift left methodologies and DevSecOps processes Experience in designing and developing scalable AI platforms Preferred qualifications, capabilities, and skills Masters degree in a related field. Experience implementing multi-cloud architectures Certifications in target areas (Cloud/Kubernetes/IaC etc) Experience leading end-end platform development efforts

There s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the worlds most complex and mission-critical systems. As a Site Reliability Engineer III at JPMorgan Chase within the Consumer and community banking- IPM technology, you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform. Job responsibilities Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications Implements infrastructure, configuration, and network as code for the applications and platforms in your remit Collaborates with technical experts, key stakeholders, and team members to resolve complex problems Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers Supports the adoption of site reliability engineering best practices within your team Required qualifications, capabilities, and skills Minimum 7 years of Working experience in software engineering roles with minimum 2+ years applied experience as an SRE. Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform Proficient in at least one programming language such as Python, Java/Spring Boot Proficient knowledge of software applications and technical processes within a given technical discipline (e. g. , Cloud, artificial intelligence, Android, etc. ) Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others Experience with continuous integration and continuous delivery tools like Jenkins, Groovy Scripts, GitLab, or Terraform Experience with container and container orchestration on AWS EKS/ ECS, Kubernetes Experience with troubleshooting common networking technologies and issues & Ability to contribute to large and collaborative teams by presenting information in a logical and timely manner with compelling language and limited supervision

We are looking for a System Software Engineer - OpenBMC Platform. The candidate will be responsible for supporting in design and development of software solutions in the areas of OpenBMC, System Management, Platform Drivers for various NVIDIA platforms HGX, MGX, DGX platforms etc. We are looking for engineers who are passionate about working on system software and firmware components, platform drivers and system manageability standards. What youll be doing: Design and implement OpenBMC Core Infrastructure and Features for GPU Server platforms. Hands-on work with bringing up BMC firmware, performance analysis, and coding various manageability features for NVIDIA s Server platforms. Design, Develop and contribute to reviews closely working with Opensource community. Influence community to enable NVIDIA features and platform requirements. Crafting solutions for errors, stats & configuration appropriate to CPU, GPU, DIMM, SSDs, NICs, IB, PSU, BMC, FPGA, CPLD, etc. for enterprise readiness of NVIDIA Server platforms. Designing and developing performance-optimized active monitoring BMC solutions using DMTF Standards including MCTP, Redfish, SPDM, and PLDM specifications. Instrumenting code to ensure maximum code coverage, writing and automating unit tests for each implemented module, and maintaining detailed unit test case reports. Providing software quality reports based on static analysis, code coverage, CPU load. Working with security team to ensure developed code is in line with product security goals, and with hardware, teams to influence hardware design and review HW architecture & schematics. What we need to see: Bachelor of Science Degree (or higher) or equivalent experience in Computer Science, E&C and Electrical Engineering. 3+ years of relevant experience. Domain expertise in BMC Firmware development on X86 or ARM Platforms including BMC-BIOS communication, thermal management, power management, firmware update, device monitoring, firmware security, etc. Board Bring-up expertise with hands-on experience in Device drivers like I2C/I3C, SPI, PCIe, SMBus, Mail-box, etc. as well as the device trees for U-Boot and Linux kernel. OOB or In-band System Management experience with exposure to standards IPMI, KCS, DMTF Standards (PLDM, MCTP, Redfish, PMBus, NVMe, etc. ) Understanding of REST architecture style especially JSON over HTTPS with OAuth. Strong programming and scripting skills using C/C++, Bash, Python, Go, etc. both for Linux user-space programs and system programs with thorough code reviewing skills. Strong in Linux fundamentals, various Linux distributions and packages, Linux upgrade mechanisms, building and deploying Linux images. You should possess excellent written and oral communication skills, good work ethics, a high sense of collaboration, a love to produce quality work, and a commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to complicated problems. Ways to stand out from the crowd: Contributor to industry standards like Open Compute, OpenBMC, IPMI, DMTF Standards, and open source. Expertise in system software and platform security for x86/ARM-based Rack/Blade server systems.

You are a strategic thinker passionate about driving solutions in BI and Analytics (Alteryx, SQL, Tableau), you have found the right team. As a Business Intelligence Developer - Associate within our Asset and Wealth Management Finance Transformation and Analytics team, you will be tasked with defining, refining, and achieving set objectives for our firm on a daily basis. Job Responsibilities Design s the technical and information architecture for the MIS (DataMart s) and Reporting Environments Support the MIS team in query optimization, and deployment of BI technologies including but not limited to Alteryx, Tableau, MS SQL Server (T SQL programming) /SSIS and SSRS. Scope, prioritize and co-ordinate activities with the product owners. Design and develop complex queries which caters to data inputs for the dashboards/reports from large data sets. Work on the agile improvements by sharing experiences and knowledge with the team. Advocate and steer the team to implement CI/CD (Devops) workflow. Design and develop complex dashboards from large and/or different data sets. Overall, the ideal candidate for this position will be highly skilled in reporting methodologies, data manipulation & analytics tools and have expertise in the visualization and presentation of enterprise data. Required qualifications, capabilities and skills. Bachelor s Degree in MIS, Computer Science, or Engineering. Different field of study, with significant professional experience in BI Development, is acceptable. Strong DW-BI Skills. Experience Required 7+ in Data warehouse and visualization. Strong work experience in data wrangling tools like Alteryx. Working Proficiency on Data Visualizations Tools. Experience on BI technologies not limited to Alteryx, Tableau, MS SQL Server (SSIS, SSRS) Working knowledge in querying data from databases such as MS SQL Server, Snowflake, Databricks etc. Strong knowledge of designing database architecture and building scalable visualization solutions. Ability to write complicated yet efficient SQL queries and stored procedures. Working experience on building end to end ETL processes. Experience in working with multiple data sources and handling large volumes of data. Experienced in conversion of data into information. Experience in end-to-end implementation of Business Intelligence (BI) reports & dashboards. Good communication and analytical skills Preferred qualifications, capabilities and skills Exposure to Data Science and allied technologies like Python, R etc is an added advantage. Exposure to automation tools like UIPath, Blue Prism, Power Automate etc. Working knowledge on CI/CD workflows and automated deployment. Experience on scheduling tools like Control M.

Imagine shaping your future and unleashing your potential in a role to transform raw data into innovative solutions. Be at the forefront, collaborating with stakeholders and mastering low-code environments while improving operational efficiency. As a Low Code Developer - Team Leader in the Operations team, you will conduct intelligence automation and business analysis to gather requirements. Your role will involve translating these requirements into process improvements and solutions for operational efficiencies. You will be responsible for gathering information, executing, and implementing automation and the digitization strategy. Your work will support the Operations function by delivering the outcomes of the automation. Job responsibilities Researches, gathers, and prepares information for analysis and reporting Contributes to and supports projects and initiatives with key stakeholders Executes basic solution design and development, and troubleshoots technical aspects Collects, analyzes, and monitors low-code/no-code automation in test and production while adhering to the firm s standards and controls Utilizes, supports, and administers tools for automation Required qualifications, capabilities, and skills At least 3 years of experience and a proven ability to gather/analyze complex operational processes and data to develop accurate conclusions with sufficient comprehension of the business to understand risk implications Basic to Intermediate knowledge of AI/ML Intermediate knowledge of Python Preferred qualifications, capabilities, and skills Understanding of basic software development principles Basic knowledge of intelligence automation applications and other coding languages such as UiPath and PEGA Beginner level skills with an understanding of business analysis, development, testing, and deployment Bachelors degree

Winning as One Team: We work together with universal respect to achieve aligned outcomes Customer Driven Innovation: We innovate to stay ahead of the market and create value for our customers Agility in Action: We embrace change and are unified in our purpose and objectives amidst change Position Summary - Collaborate with the engineering team to design and architect the database schema for optimal performance, data integrity, and scalability. Define and implement an effective indexing strategy to speed up data retrieval operations. Evaluate and recommend appropriate indexes based on query patterns. Analyze and optimize SQL queries to ensure they run efficiently. Work closely with developers to improve query performance and reduce response times. Develop, refine, and deploy automation scripts and tools to enhance system provisioning, configuration, monitoring, and management, with an emphasis on cloud services integration and management. Provide training to the engineering team on database(RDS, Aurora, MySQL, PostgreSQL) best practices, query optimization techniques, and the use of database tools. Act as a subject matter expert in troubleshooting database-related issues. Respond quickly to incidents, diagnose problems, and implement solutions. Use database profiling tools to analyze query execution plans and identify areas for improvement. Provide recommendations to enhance overall system performance. Collaborate closely with software developers and engineers to understand application requirements and provide guidance on database-related aspects. Develop and maintain backup and recovery strategies. Test and validate the effectiveness of backup and restore procedures regularly. Implement and enforce security best practices for the database system. Ensure compliance with relevant regulations and standards. Implement monitoring solutions to track database performance metrics. Proactively identify and address performance bottlenecks and issues. Keep up-to-date with the latest advancements in database technologies, Amazon RDS features, and MySQL updates. Evaluate and recommend the adoption of new features that can benefit the system. Lead initiatives to ensure the utmost reliability, scalability, and performance of our server, storage, and cloud platforms, employing thorough performance management strategies to identify and proactively address potential issues. Participate in and often lead comprehensive project assignments, ensuring meticulous attention to detail in maintenance, troubleshooting, and continuous improvement initiatives for optimal company operations. Maintain scrupulous documentation for system changes, automation processes, and platform configurations, strictly adhering to the companys change management policies. Excel in collaboration and communication with diverse stakeholder groups, breaking down complex technical topics into clear, understandable insights, and advocating for infrastructure needs and priorities. Experience working in an agile development environment. Understanding of iterative development, sprints, and collaboration within cross-functional teams. Knowledge of CI/CD practices related to database changes, including versioning, automated testing, and deployment automation. WHAT IT TAKES TO CATCH OUR EYE: Proficient understanding of the AWS platform Proficient understanding of virtualization technologies: Server, Storage, Networking Proficient understanding of computer programming languages: Java, Hibernate, Springboot frameworks, etc Proficient understanding of scripting languages, and software and infrastructure automation skills like python, shell scripting Detailed and fully proficient knowledge of technology trends and champions new ideas and product and process improvements. Strong understanding of security, risk, and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems, and networking connectivity. Experience creating templates with CloudFormation, and similar technologies. Shows initiative on assignments, and professionally executes projects with very little direction or can provide direction and leadership to technical teams. Fully proficient ability to handle significant responsibility, leadership, and accountability while executing complex assignments. Knowledge of systems architecture. Able to accept & integrate constructive feedback Proficient ability to work collaboratively and effectively with a wide range of individuals Proficient ability to learn and apply GDMS culture, policies, and processes Experience in Lambda, S3, RDS, Cloud formation, Aurora, Redshift, DynamoDb Plus: Experience working with Streaming Data and data extraction from different Databases (Oracle, DB2, MySQL, PostgreSQL, etc) SQL Experience working on Python Understanding of data engineering, real-time streaming and/or eventing, and JSON parsing Knowledge of AWS data pipeline, Glue, S3, and Redshift skills to aggregate data from various AWS S3 and other sources, cleanse, format it, and organize in S3/Redshift data model. Experience building ETL/ELT processes within AWS Effective communication skills (written and oral) Generate metrics that will help drive decisions for load balancing on the databases in the AWS. Automation for detection of database health and maintaining quality. Create a design and process for database restore/restructure in case of excessive disaster and or work loads. Research, propose and implement an upgrade plan to take Securonix databases to next generation technologies. Bonus Points For - Bachelor s degree in computer science, computer engineering, or relevant field. A minimum of 5 years experience in a similar role. Proactive problem-solver with a keen eye for improving the system architectures Show strong ability in handling the streaming data applications Strong knowledge of database structure systems and data mining. Strong knowledge of SQL, hibernate, java, database tuning. query tuning. Strong knowledge of RDS, Mysql, NoSQL databases. AWS certification in database speciality is a plus. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. As a full-time employee with Securonix, you will be eligible for the following employee benefits: Health Insurance with a total sum insured is INR 7,50,000 Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law Personal Accident with total sum insured is INR 10,00,000 Term Life Insurance with a sum assured for employees is 5 times fixed base pay is covered.

We are seeking an experienced Senior Python Developer with expertise in Django or Flask frameworks. The ideal candidate should have a deep understanding of cloud technologies, containerization, coding best practices, and software development principles. This role will involve designing, developing, and maintaining Python-based web applications while adhering to industry standards and best practices. Key Responsibilities : Python Web Development : Design, develop, and maintain Python-based web applications using Django or Flask frameworks. Ensure code is efficient, scalable, and maintainable. Cloud Integration : Integrate applications with cloud services, such as AWS, Azure, or Google Cloud, to leverage scalability and reliability. Deploy and manage applications on cloud infrastructure. Containerization : Utilize containerization technologies like Docker to package applications and ensure consistent deployment across different environments. Coding Best Practices : Follow coding best practices, maintain clean and well-documented code, and conduct code reviews to ensure code quality and adherence to coding standards. Software Development Principles : Apply software development principles such as SOLID, DRY (Don t Repeat Yourself), and KISS (Keep It Simple, Stupid) to create efficient and maintainable code. Database Integration : Work with various databases (SQL and NoSQL) to design and implement data models and efficient database queries. API Development : Create RESTful APIs using Django REST framework or similar tools to facilitate data exchange between front-end and back-end systems. Security : Implement security best practices, including authentication, authorization, and data encryption, to protect applications against security vulnerabilities. Performance Optimization : Identify and resolve performance bottlenecks in applications by profiling code and applying optimization techniques. Testing : Develop unit tests and integration tests to ensure the reliability and functionality of web applications. Documentation : Create and maintain technical documentation, including code comments, system architecture diagrams, and API documentation. Continuous Integration/Continuous Deployment (CICD) : Set up CICD pipelines to automate build, testing, and deployment processes, ensuring rapid and reliable releases. Code Versioning : Use code versioning systems like Git for collaborative development and code management. Monitoring and Logging : Implement monitoring and logging solutions to track application performance and troubleshoot issues proactively. Good to have: Programming skills in leveraging data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn) to deliver actionable insights and data-driven solutions. Familiarity with big data technologies and cloud platforms is a plus. Familiarity with MLOps platforms like MLFlow. Thorough knowledge of database systems, SQL, and NoSQL databases. Qualifications : Bachelor s degree in Computer Science, Software Engineering, or a related field (Master s degree preferred). Extensive experience in Python web development with Django or Flask. Strong knowledge of cloud services (e.g., AWS, Azure, Google Cloud) and cloud deployment. Proficiency in containerization technologies, particularly Docker. Solid understanding of coding best practices, software development principles, and design patterns. Familiarity with databases (SQL and NoSQL) and efficient data modeling. Experience developing RESTful APIs with Django REST framework or similar tools. Knowledge of web security principles and best practices. Ability to optimize application performance and troubleshoot issues effectively. Experience with unit testing and CICD pipelines. Excellent documentation and communication skills. Strong teamwork and collaboration abilities. Cloud certifications (e.g., AWS Certified Developer, Azure Developer Associate) are a plus

The Data Engineer, Sr - II will work closely with clients and provide high level technical consulting services, configuration of the elluminate platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations, platform configuration, ETL and custom analytics development. As a Data Engineer, Sr - II you will serve as the primary technical lead, spearheading consulting efforts related to clinical systems software. You will also design and develop reporting programs as needed. KEY TASKS & RESPONSIBILITIES Leading consulting efforts and providing high-level technical consulting services to clients, including configuring the elluminate platform and overseeing specific projects such as trial configuration, quality control, and project management. Guiding and supporting the team of data engineers on various technical service delivery activities. Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate Mapper, and Qlik. Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. Demonstrating in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules. Delivering proactive technical support for all client-reported support tickets. Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform. Configuring, migrating, and supporting the elluminate platform for assigned clients. Creating and maintaining all required specifications and quality control documents as per SOP and processes. Ensuring compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures. Demonstrating strong analytical and problem-solving skills to identify issues and develop creative solutions that drive results. Conveying information clearly and concisely to diverse audiences, facilitating understanding and collaboration. CANDIDATE S PROFILE 7+ years of professional experience in a Services or Consulting role preferred Bachelors or Masters degree in science, technical or business discipline or equivalent experience preferred 5+ years in database design and development experience preferred Understanding of Cloud / Hybrid data architecture concepts is a plus Prior experience in customer facing roles is a plus Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards Experience in Pharmaceutical / Biotechnology / Life Science industry is a plus Professional Skills & Experience: Have critical observation and communication skills to Identify any gaps in processes or product Ability to work with various technical and non-technical teams both internal to eCS and clients Must be team oriented with strong collaboration, prioritization, and adaptability skills Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred Experience in regulatory computer systems validation a strong plus Technical Skills & Experience: Proficient in SQL, T-SQL, PL/SQL programming, Or R Package, or Python or SAS Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle Working effectively in a team environment, contributing to group objectives, and supporting colleagues. Adapting to changing circumstances and accepting new challenges with a positive attitude. Understanding clinical trial data and applying CDISC, SDTM/AdAM/TLFs standards. Having a good understanding of clinical data collection tools like RAVE, InForm, Veeva EDC, Sibel CTMS, and analytics tools. Performing other duties as assigned. Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related

The Data Engineer II will work closely with clients and provide technical consulting services, configuration of the elluminate platform, development for specific projects that include trial configuration, quality control, process improvements, system validation, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer II will engage in technical development and implementation of various software service delivery related activities. As a Data Engineer II, you will play a crucial role in providing high-level technical consulting services and configuring the elluminate platform. You will oversee specific projects, including trial configuration, quality control, and project management. KEY TASKS & RESPONSIBILITIES Collaborating closely with clients to deliver technical consulting services and configure the elluminate platform. Guiding and supporting the team of data engineers on various technical service delivery activities. Designing, developing, testing, and deploying efficient SQL code to support SDTM, custom reports, and visualizations using tools like MS SQL, elluminate Mapper, and Qlik. Providing technical guidance, training, and support to team members and users on processes, technology, and products. Managing multiple timelines and deliverables for single or multiple clients, and handling client communications as assigned. Possessing in-depth knowledge of at least one Elluminate module, with hands-on experience in all other modules. Delivering proactive technical support for all client-reported support tickets. Facilitating client onboarding workshops and conducting training sessions for end users on the Elluminate platform. Configuring, migrating, and supporting the elluminate platform for assigned clients. Creating and maintaining all required specifications and quality control documents as per SOP and processes. CANDIDATE S PROFILE Education & Experience 3+ years of professional experience preferred Bachelors degree or equivalent experience preferred Experience developing back end, database/warehouse architecture, design and development preferred Knowledge of variety of data platforms including SQL Server, DB2, Teradata, (Cloud based DB a plus) Understanding of Cloud / Hybrid data architecture concepts is a plus Knowledge of clinical trial data is a plus - CDISC ODM, SDTM, or ADAM standards Experience in Pharmaceutical / Biotechnology / Life Science industry is a plus Professional Skills Ability to work with different technical and cross functional teams Must be proactive, demonstrate initiative, and be a logical thinker Must be team oriented with strong collaboration, prioritization, and adaptability skills Good understanding of technical challenges and capability to analyze requirement and technical problems Excited to learn new tools and product modules and adapt to changing technology and requirements Excellent knowledge of English; verbal and written communication skills Ensuring compliance with eClinical Solutions/industry quality standards, regulations, guidelines, and procedures. Demonstrating strong analytical and problem-solving skills to identify issues and develop creative solutions that drive results. Conveying information clearly and concisely to diverse audiences, facilitating understanding and collaboration. Working effectively in a team environment, contributing to group objectives, and supporting colleagues. Adapting to changing circumstances and accepting new challenges with a positive attitude. Understanding clinical trial data and applying CDISC, SDTM standards. Performing other duties as assigned. Technical Skills Proficient in SQL, T-SQL, PL/SQL programing Experience in Microsoft Office Applications, specifically MS Project and MS Excel Familiarity with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle Familiarity with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related

A Bachelor s degree in Software Engineering, Computer Science, IT, or a related technical field, with 8+ years of professional experience. An equivalent combination of education and relevant work experience will also be considered. Must-Have Skills: We are seeking a Test Architect with strong programming skills and deep expertise in test infrastructure . The ideal candidate will have experience in: Test Orchestration and Automation Frameworks development Containerization and environment management using Docker Continuous Integration/Deployment using Jenkins Cloud platforms such as AWS or Azure Developing custom tools and utilities to drive automation, scalability, and efficiency This role is part of our Quality Enablement (Quality Centre of Excellence) team, responsible for building robust, scalable testing capabilities across the organization. Automation Framework Development : Extensive experience with various automation frameworks, including the design and development of at least one multi-functional automation framework (covering Web, API, Mobile , and/or Performance Testing) from the ground up. Programming and Design Expertise : In-depth knowledge of object-oriented programming principles, design patterns, data structures , and unit testing. Candidate also should have strong hands-on expertise in UI Automation scripting using an OOP language like Python or Java . API Testing and Automation : Expertise in testing web services (SOAP and RESTful APIs), with a strong focus on API automation. Parallel Test Execution and Infrastructure Setup : Proficient in creating infrastructure for parallel test execution using cloud infrastructure, container orchestration platforms (e.g., Nomad or Kubernetes ), or Selenium Grid. Must have expertise in CI/CD pipeline creation and container creation/management using tools like Jenkins. Web Application Testing and Debugging : Solid experience in testing web-based software solutions and debugging complex web application issues through code reviews and detailed log analysis. Database Expertise : Competent in working with databases such as Postgres, MySQL, Oracle, or NoSQL systems. Performance Testing : Experience with any load testing framework (e.g., K6 or Locust) is a significant plus. Test Management and Leadership : Strong skills in test case management, including creation, execution, reporting, and revision. Proven experience in leading automation initiatives and driving continuous improvement in testing processes. Additional Skills: Strong analytical and problem-solving abilities , with a focus on delivering high-quality solutions. Ability to collaborate effectively across cross-functional teams and communicate technical details clearly. Must have experience in enabling teams to adopt best practices for Quality Engineering and testing automation. This position requires fluent written and oral communication in English . Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs - You Earned it

We are looking for a skilled and innovative Data Scientist with a minimum of 5 years of professional experience. The ideal candidate will have a strong analytical mindset, advanced technical expertise, and a proven ability to extract meaningful insights from large and complex datasets. You will play a critical role in driving data-driven decisions, building predictive models, and enabling scalable data solutions to support our business objectives. Key Responsibilities Analyze complex datasets to uncover actionable insights, trends, and opportunities for optimization. Design and implement analytical frameworks to solve business challenges. Develop, train, and deploy predictive and prescriptive models using machine learning and statistical techniques. Continuously improve model performance and scalability. Collaborate with data engineering teams to ensure the availability and quality of data pipelines. Implement data preprocessing, transformation, and feature engineering processes. Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to align data initiatives with organizational goals. Translate business problems into data science tasks and communicate results effectively to non-technical stakeholders. Leverage advanced data science tools and frameworks for statistical analysis, machine learning, and data visualization. Stay updated on emerging technologies and incorporate best practices in data science workflows. Define and track key metrics to measure the success of models and business impact. Conduct A/B testing and experiments to validate hypotheses and model effectiveness. Qualifications Education: Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. A PhD is a plus. Experience: At least 3-5 years of hands-on experience in data science, machine learning, or a related role. Proven experience in deploying models in production environments. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). Expertise in working with SQL and NoSQL databases. Preferred Qualifications: Experience in natural language processing (NLP), computer vision, or deep learning. Knowledge of CI/CD pipelines and MLOps best practices. Certification in data science, machine learning, or cloud computing (e.g., AWS Certified Data Analytics, Microsoft Azure Data Scientist Associate). Soft Skills: Strong problem-solving and critical thinking abilities. Excellent communication and storytelling skills to convey insights effectively. Ability to work collaboratively in a fast-paced, cross-functional environment.

We are looking for a skilled and innovative Data Scientist with a minimum of 5 years of professional experience. The ideal candidate will have a strong analytical mindset, advanced technical expertise, and a proven ability to extract meaningful insights from large and complex datasets. You will play a critical role in driving data-driven decisions, building predictive models, and enabling scalable data solutions to support our business objectives. Key Responsibilities Analyze complex datasets to uncover actionable insights, trends, and opportunities for optimization. Design and implement analytical frameworks to solve business challenges. Develop, train, and deploy predictive and prescriptive models using machine learning and statistical techniques. Continuously improve model performance and scalability. Collaborate with data engineering teams to ensure the availability and quality of data pipelines. Implement data preprocessing, transformation, and feature engineering processes. Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to align data initiatives with organizational goals. Translate business problems into data science tasks and communicate results effectively to non-technical stakeholders. Leverage advanced data science tools and frameworks for statistical analysis, machine learning, and data visualization. Stay updated on emerging technologies and incorporate best practices in data science workflows. Define and track key metrics to measure the success of models and business impact. Conduct A/B testing and experiments to validate hypotheses and model effectiveness. Qualifications Education: Bacheloror Masterdegree in Computer Science, Statistics, Mathematics, Data Science, or a related field. A PhD is a plus. Experience: At least 3-5 years of hands-on experience in data science, machine learning, or a related role. Proven experience in deploying models in production environments. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). Expertise in working with SQL and NoSQL databases. Preferred Qualifications: Experience in natural language processing (NLP), computer vision, or deep learning. Knowledge of CI/CD pipelines and MLOps best practices. Certification in data science, machine learning, or cloud computing (e.g., AWS Certified Data Analytics, Microsoft Azure Data Scientist Associate). Soft Skills: Strong problem-solving and critical thinking abilities. Excellent communication and storytelling skills to convey insights effectively. Ability to work collaboratively in a fast-paced, cross-functional environment.

As an Engineering Manager, you ll lead a team of skilled engineers and make decisions impacting multi-functional partners You ll contribute to code reviews and risk assessments, and represent the team and technology in meetings with IS&T and business units You ll clarify requirements and set objectives for multi-functional software projects You ll also plan a multi-year roadmap, oversee software development, and develop and grow engineers within the team KEY RESPONSIBILITIES: Design, develop, and optimise highly scalable, distributed systems using cloud-native technologies and micro-services architecture to create robust and resilient solutions We are seeking a project leader with hands-on experience in Agile development methodologies to ensure timely delivery of projects Lead proof-of-concept projects and pilot implementations to showcase innovative ideas Strive for perfection by continuously enhancing system reliability, performance, and security We re looking for someone who can contribute to design, code reviews, and risk assessments They ll also assist in debugging and resolving technical issues Additionally, they ll design and architect large-scale projects, focussing on performance, scalability, robustness, and resiliency Collaborate with product owners, developers, QA, support teams, and end-users for successful project outcomes Lead, mentor, and guide an engineering team, fostering innovation and excellence Possess strong problem-solving and analytical skills They can lead, hire, develop, and build an engineering team, providing technical direction and growth opportunities Master intricate technical challenges, foster innovation, and keep abreast of the latest advancements in new technologies 12+ years of experience building and scaling enterprise-grade systems that meet the demands of high-volume environments. 3+ years of experience in building, developing, and leading engineering teams. Proficient in programming languages such as Python\Java Strong hands-on expertise with Python frameworks (Django, Flask, or FastAPI, RESTful APIs), React.js and modern JavaScript Experience with relational databases like Oracle, PostgreSQL etc Hands-on experience in designing and architecting large projects including performance, scalability, robustness, and resiliency Demonstrated proficiency in project management, ensuring timely delivery and extensive experience in Agile development methodologies. Bachelor of science or equivalent experience in Computer Science. Preferred Qualifications Development experience with container orchestration systems such as Docker and Kubernetes Experience with NoSQL databases like Couchbase, Redis, MongoDB, etc. Experience / Exposure building products using AI/ML technologies. A solid grasp of LLMs, prompt engineering, and RAG is a plus Experience in developing & managing applications for the supply chain business domain is a plus. Effectively manage and collaborate with contractors. Excellent verbal and written communication skills.

Experience: 2+ Years of experience and exposure in Networking / Storage / Data-center / Security domain Qualification: Masters/Bachelors in ECE/CS (For Geeks, anything is fine) Primary Skills: Kubernetes, Networking, Server hosting, Cloud computing, Test automation using Robot framework/Selenium for GUI, CLI, REST API & System level interface using Python Preferred: Exposure to SaaS/enterprise products, CICD, Jenkins, Git(hub/Lab), AWS, experience in tools like JMeter, Postman, VAPT, UX Design Job Description: Play a crucial role in developing software test automation ecosystem & script coverage Understanding of Kubernetes architecture, networking layers, cloud computing models Familiarity with server hosting, datacenter workflows and DevOps tools Automate manual test cases regularly in a reliable way to test product Scope and own sprint test cycles of manual and automated test operations Learn new products, technologies, features and create automation suites Develop framework and APIs on a need basis to expand test coverage Assess various testing/ traffic tools and integrate them with automation infra Demonstrating interpersonal skills required to establish effective working relationships with client/business partners Ability to innovate and demonstrate a strong passion towards work Be a dynamic team player and exhibit a great appetite for learning Must be passionate and self-motivated to work in a startup environment Work with developers, testers, clients, and management to increase test efficiency Talent-Friendly Policy: Part-time is allowed for any health reasons (subject to review) Wellbeing programs and work-life balance initiatives Professional growth and career advancement opportunities Continuous learning programs and access to online courses Mentoring and grooming by the leadership team/director Skills Expected: Software testing & development concepts (STLC, SDLC) Python (must), PERL/Shell/C Language, OS (Linux, Windows)-added advantage Web application test automation knowledge is must (mobile app added advantage) Networking, Storage, File System, Cloud, SaaS exposure is preferred. Low-level Code/System level manual testing & GUI automation, OSI, TCP/IP

We are seeking a seasoned Technical Solution Architect with extensive experience in product development to drive end-to-end solution design, architecture strategy, and product innovation. The ideal candidate will be a hands-on leader, with the ability to align technical solutions with business objectives while ensuring scalability, performance, and reliability. Key Responsibilities Solution Architecture s Design Design and implement scalable, robust, and high-performing solutions for complex systems and applications. Collaborate with stakeholders to understand business requirements and translate them into technical specifications and architecture. Provide technical leadership for product development teams and ensure adherence to architectural best practices. Product Development Leadership Oversee the technical roadmap, ensuring alignment with product vision and market trends. Contribute to the full product lifecycle, from conceptualization to delivery, using agile and DevOps practices. Evaluate and recommend frameworks, tools, and technologies for product innovation. Technical Expertise Drive architecture decisions in areas like microservices, cloud computing, distributed systems, and API development. Ensure solutions adhere to performance, security, and compliance standards. Conduct technical risk assessments and propose mitigation strategies. 4. Collaboration and Mentorship Work closely with cross-functional teams including product management, engineering, and QA to deliver seamless solutions. Mentor engineering teams to develop expertise in architecture principles, coding standards, and best practices. 5. Innovation and Continuous Improvement Stay updated with emerging technologies and evaluate their potential for product and business improvement. Introduce architectural improvements and technical innovation to stay ahead in a competitive market. Experience: 10+ years of experience in software development, including at least 8 years in a solution architecture role. Proven track record in designing and implementing enterprise-grade products and platforms. Technical Expertise: Strong proficiency in programming languages like Java, Python, .NET. In-depth knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Kubernetes, Docker). Expertise in architectural patterns (Microservices, Event-Driven Architecture, Serverless). Strong understanding of DevOps, CI/CD pipelines, and Infrastructure-as-Code (IaC). Hands-on experience with database design (SQL/NoSQL) and distributed systems. Soft Skills: Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Strong leadership, problem-solving, and decision-making abilities. Ability to work collaboratively in a fast-paced, dynamic environment. Preferred Qualifications Master s degree in Computer Science, Engineering, or a related field. Familiarity with Artificial Intelligence, Machine Learning, or Big Data platforms

DevOps & Data Engineers will operate within the Data Engineering department working to help the data engineering development, operations and testing teams better communicate and stay informed of each other s work progress or updates. They also work to better understand the wants and needs of customers and build software and tools to reduce user errors and improve the customer s overall experience. Job Description: Working with our stakeholders to develop end to end Cloud based solutions with a heavy focus on applications and data. Collaborate with BI/BA analyst, Data scientists, Data Engineers, Dev Ops Cloud Engineers, Product Managers and other stakeholders across the organization. Ensure the delivery of reliable software and data pipelines using data engineering best practices, including secure automation, version control, continuous integration/delivery, proper testing. Ownership of the product and will significantly influence on our strategy by helping define the next wave of data insights and system architecture. A commitment to teamwork and excellent business and interpersonal skills are essential. You will be an essential part of our growing analytics and data insights team, and be responsible for our technological and architectural vision. The Ideal Candidate: You have a minimum of 3+ years experience and hands on practical experience in data integration, Dev Ops, Engineering and technological analytics. You have a degree in Science, Technology, Engineering, or Mathematics Related Discipline Guide teams in designing, building, testing and deploying changes to existing software Security: While continually updating code to make the system run faster and better, the DevOps Engineer also must make sure that the changes to improve the system don t accidentally make the system more vulnerable to attack. Flexibility: The DevOps Engineer will update sections of data engineering code, as well as simultaneously managing changes to other parts of the program. Scripting Skills: DevOps Engineers must know how to use scripting programs such as Ruby, PHP, Pearl and Python. Soft Skills: A DevOps Engineer should possess interpersonal, management and decision-making skills. Excellent skills in; SQL, Python, distributed source control such as GIT in an Agile- Scrum environment. Experience with ETL pipelines and Airflow Has a strong understanding of dimensional modelling and data warehousing methodologies. Can identify ways to improve data quality And reliability. Can use data to discover different tasks for automation. Is aligned with the latest data trends and ways to simplify data insights. Is passionate about data and the insights that large amounts of data sets can provide Experience within the retail industry is a plus.

We are seeking a highly skilled Ai Enginee r who will be responsible for building, testing, and maintaining robust, scalable, and secure web applications. The ideal candidate will have strong expertise in Python and Django , with additional exposure to machine learning , generative AI frameworks , and modern deep learning architectures . This role involves optimizing performance, ensuring security, working with APIs, and collaborating closely with cross-functional teams to deliver high-quality backend solutions. Key Responsibilities: 3-6 years of hands-on experience in Python. Design, develop, and maintain backend services and RESTful APIs using Django or Django REST Framework. Work with third-party APIs and external services to ensure smooth data integration. Optimize application performance and implement robust security practices. Design scalable and efficient data models; work with relational and NoSQL databases. Implement and maintain CI/CD pipelines using tools like Docker, Git, Jenkins, or GitHub Actions. Collaborate with front-end developers, DevOps engineers, and product managers to deliver end-to-end solutions. Integrate and deploy ML models and AI features in production environments (a strong plus). Write clean, modular, and testable code following best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills and Qualifications: Strong proficiency in Python and Django framework. Experience with PostgreSQL , MongoDB , or MySQL . Familiarity with Docker , Gunicorn , Nginx , and CI/CD pipelines. Experience with machine learning and deep learning concepts. Exposure to Generative AI , Transformers , Agentic Frameworks , and Fine-Tuning techniques . Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). Ability to translate ML/AI solutions into production-ready APIs or services. Strong problem-solving and debugging skills. Nice to Have: Knowledge of FastAPI or Flask. Experience deploying models via TorchServe or ONNX. Familiarity with MLOps practices and tools like MLflow, DVC, or SageMaker. If youre passionate about backend development and excited to work at the intersection of software engineering and AI innovation , we d love to hear from you

Development/configuration of new API on Apigee API management platform Strong in reviewing the specification files/swagger files. Have an active enthusiasm in automation areas Policy , credentials and any other administration of existing API. Troubleshoot priority incidents, facilitate blameless post-mortems and ensure permanent closure of incidents. Engage with development team throughout the life cycle in ensuring minimal refactoring or changes. Participate in the 24x7 support coverage as needed. Have an enthusiastic, go-for-it attitude. When you see something broken, you cant help but fix it. Have an urge to collaborate and communicate asynchronously. Have an urge for delivering quickly and iterating fast. Strong in basics B asic Qualifications: Bachelor degree, preferably in Computer Science, Software Engineering, or any other Engineering field. 3+ years with Apigee API management platform with AWS expertise (will be plus) . Technical Experience: Knowledge on Key AWS services: EC2, S3, VPC, Route 53, RDS, CloudFormation, EC2, DynamoDB (NoSQL), Lambda, logging/CloudWatch, IAM, Certificate Manager, ELB, EBS, ECS, CloudFront/WAF, SQS, SNS, SES. Experience with identifying API from business processes design and implementing API using latest and emerging technology. Working knowledge of API security certification, authentication, authorization, IP security setup, and end point configuration. Hands on experience with building service policies using various Policy Assertions that implement XML/JSON transformation, routing, encryption/decryption, dig. signatures, auditing, PKI, threat prevention, ICAP integration, logical assertions, etc This includes hands on experience with Access Control, TLS, XML Security, Message Validation/Transformation, Routing, Policy Logic and Threat Protection Policy assertion categories. Hands on any modern API Gateways, preferably Apigee . Knowledge of REST best practices preferred. Understanding of Git, Bitbucket, Jira, Jenkins, Sonar, Splunk, Maven, AIM and/ or Continuous Delivery tools. Knowledge of at least one modern programming language such as: Java, C, C++, Perl, or Python. Responsibilities: Meeting SLO, SLA, SLI defined in the Operations model. Setting task prioritization and troubleshoot to closure of incidents. Participate on-call /on-rotation. Improve Service observability. Proactively testing the flexibility and resilience of the system.

Design, implement, and evaluate macroeconomic forecasting models, time series regressions, and machine learning models (including basic neural nets like RNN, LSTM architecture). Apply and explain statistical concepts like regression, correlation, multicollinearity, stationarity, autocorrelation, and model assumptions to non-technical teams. Work with time series, panel, and structured tabular data and perform feature engineering, data cleaning, and model validation. Work with SQL to extract and manipulate data, perform preprocessing and feature engineering, tune models. Work closely with business stakeholders, domain experts, and data engineers to define problems and deliver insights. Present insights and model performance clearly to technical and non-technical stakeholders Optionally, experiment with deep learning or generative AI models for internal R&D use cases Required Experience: 7-8 years experience in Statistics, Machine Learning, Time Series modeling, and Python Desired Skills: Bachelor s or Master s in Statistics, Economics, Data Science, Computer Science, or a related field. Strong command over Python (pandas, NumPy, scikit-learn, statsmodels) and SQL for data analysis, modeling, and manipulation. Experience with real-world tabular datasets and business problem-solving Strong applied knowledge of: Supervised learning (linear/logistic regression, decision trees, ensemble models) Unsupervised learning (K-means, DBSCAN, hierarchical clustering) Evaluation metrics, cross-validation, feature importance Solid grounding in Statistics Probability distributions, statistical inference, hypothesis testing Time Series modeling Comfortable working with small datasets where feature engineering and domain understanding matter most. Ability to explain complex concepts in simple terms and work effectively with both technical and non-technical stakeholders. Nice to have skills: Deep learning experience (e.g., PyTorch, TensorFlow) Familiarity with version control (Git), dockers and AWS. Exposure to GenAI concepts or LLM APIs (OpenAI, HuggingFace, LangChain)

Collaborate with business stakeholders to gather and translate data requirements into analytical solutions. Analyze large and complex datasets to identify trends, patterns, and actionable insights. Design, develop, and maintain interactive dashboards and reports using Elasticsearch/Kibana or Power BI. Conduct ad-hoc analyses and deliver data-driven narratives to support business decision-making. Ensure data accuracy, consistency, and integrity through rigorous validation and quality checks. Write and optimize SQL queries, views, and data models for reporting and analysis. Present findings through compelling visualizations, presentations, and written summaries. Work closely with data engineers and architects to enhance data pipelines and infrastructure. Contribute to the development and standardization of KPIs, metrics, and data governance practices Required Skills (Technical Competency): Bachelor or master degree in data science, Computer Science, Statistics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Proficiency in SQL and data visualization tools such as Power BI, Kibana, or similar. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Desired Skills: Elasticsearch/Kibana, Power BI, AWS, Python, SQL, Data modelling, Data analysis, Data quality checks, Data validation, Data visualization, Stakeholder communication, Excel, Data storytelling, Team collaboration, Problem-solving, Analytical thinking, Presentation skills, ETL concepts.