410 Postgres Jobs - Page 13

Technical Skills: Experienced in building microservices using Node or similar (e.g: Java springboot) , api implementations (Spring boot, Node etc), Middleware (RabbitMQ etc..) Experienced in using design patterns to address backend design problems Excellent analytical, problem solving and debugging skills, perf analysis and remediation. Hands-on experience in RDS (Oracle, Postgress, MySQL, SQL server etc) NoSQL (Mongo, Dynamo etc..) Experienced on configuring and deploying services to be consumed using API gateways (AWS native, Kong etc) service discoverability, service security, service throttling etc Hands on Experience in unit and feature testing, TDD, load testing Unit testing experience using Junit or similar. Keeps updated with emerging back end technology innovations, improvements. General Skills: Detail oriented. Takes initiative, and ready to take ownership, displays commitment. Should be open to work in a startup environment and have confidence to deal with complex issues and tackle high pressure situations focussed on solutions. Education Experience: At least an undergraduate degree in Computer Science, Engineering, or Mathematics, preferably from a Tier 1 college. BE preferred. 0-4 years of front-end experience

BMC is looking for an Experienced Database Administrator (DBA) to join our amazing DSOM team! In this role, you will combine Infrastructure and Applicative DBA tasks (50%-50%) and work within an awesome R&D team. You will use relational DBs such as Oracle, PostgreSQL, MSSQL and collaborate with various internal interfaces as well as B2B enterprise customers. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Design, create and optimize Database schema and SQL query, while working closely with our development teams Write store procedures. Script and develop in Python and other technologies. Create and maintain Database needed for development and testing the product. Solve database usage issues and malfunctions. Work with customers all over the world to resolve database issues. Work in good collaboration with other teams to develop joint features. Investigate various technologies/tools to choose the correct database and version, from AWS RDS to embedded PostgresSQL To ensure youre set up for success, you will bring the following skillset & experience: 2-3 years of experience as a DBA Experience with relational database (Postgres, Oracle, MSSQL or similar) Scripting / Coding experience (preferably in Python) Database administration skills Job monitoring, Backup/restore, security management, etc. Experience in database tuning and troubleshooting experience. Experience in writing store procedures. Great communication and interpersonal skills Ability to work as a part of a team as well as independently. Whilst these are nice to have, our team can help you develop in the following skills: Knowledge in C Knowledge in public cloud, such as AWS / GCP / Azure etc. Linux experience

BMC is looking for a SQA Engineer to join a QE team working on complex and distributed software, developing test plans, executing tests, developing automation & assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Perform manual tests as well as automation development using Python Review requirements, specifications, and technical design documents to provide timely and meaningful feedback. Create detailed, comprehensive, and well-structured test plans and test cases. Estimate, prioritize, plan and coordinate testing activities Collaborate with various teams to ensure quality testing To ensure youre set up for success, you will bring the following skillset & experience: 4+ Years of hands-on Software Quality Assurance experience in software product development 3+ Years of hands-on test cases automation development experience in developing and implementing automated testing platforms using Selenium & Java Working knowledge of Databases e.g. Postgres/SQL/Oracle Managing automation frameworks and run regression suites. Hands on experience with tools like JIRA, Github, Code colloborator Must have worked on large scale enterprise products (n-tier architecture) Whilst these are nice to have, our team can help you develop in the following skills: Experienced in working with Agile development methodology and working with virtual team. Experience with CI/CD using Jenkins and related scripting to implement continuous testing. Working experience with container-based apps on Kubernetes,OpenShift. Exposure to cloud platform like AWS, Azure, OCI or GCI would be plus. Good documentation, communication and presentation skills

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Aws Solution Architect Qualification : Any Graduate or Above Relevant Experience : 10 -15Years Required Technical Skill Set (Skill Name) : Data lakes, data warehouses, AWS Glue, Aurora with Postgres, MySQL and DynamoDB Location : Bangalore CTC Range : 25 LPA-40 LPA Notice period : Any Shift Timing : N/A Mode of Interview : Virtual Mode of Work : WFO( Work From Office) Pooja Singh KS IT Staffing Analyst Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA. pooja.singh@blackwhite.in I www.blackwhite.in

Work Location: Bangalore Please share your updated profile to sugantha.krishnan@acldigital.com Responsibilities: Develop and maintain high-quality, efficient, and scalable backend applications. Participate in all phases of the software development lifecycle (SDLC) Write clean, well-documented, and testable code adhering to best practices. Collaborate with team members to ensure the successful delivery of projects. Debug and troubleshoot complex technical problems. Identify and implement performance optimizations. Participate in code reviews Hands-on experience with Springboot, Java 8 and above. 5-8 years of experience developing Java applications. Knowledge about at least one messaging system like Kafka, RabbitMQ etc. Strong understanding of object-oriented programming (OOP) principles. Experience with design patterns and best practices for Java development. Proficient in unit testing frameworks (e.g., JUnit). Experience with build automation tools (e.g., Maven, Gradle). Experience with version control systems (e.g., Git). Experience with one of these databases Postgres, MongoDb, Cassandra Knowledge on Retail or OMS is a plus. Experienced in containerized deployments using Docker, Kubernetes and DevOps mindset Ability to reverse engineer existing/legacy and document findings on confluence. Create automated tests for unit, integration, regression, performance, and functional testing, to meet established expectations and acceptance criteria. Document APIs using Lowes established tooling.

Job Summary - Position Specific Duties - Experience range 5- 8 yrs ( relevant exp on below mentioned Minimum Qualifications - 3+ years of experience developing software and web application - 3+ years of experience with (at least 2) PHP, Python, React and Node.js - 3+ years of Linux operating system - Detailed knowledge of AWS Platform and Services including compute, storage and development tools - Bachelor's Degree in Computer Science or related field or an equivalent combination of education and experience Required Skills are- - 1+ year of experience with C/C++ - Strong understanding of database design (Postgres, MySQL, Mongo) - Experience with configuration management tools (Puppet, Ansible or Chef) - Experience with version control tool (Git) Interested candidates can share to - singh.garima@orcapod.work

Position Purpose The Solution Architect is responsible for evaluating business needs and determining how IT can support those needs leveraging application architecture, software, hardware, or infrastructure. The Solution Architect Has a global knowledge in one or several business domains and is assigned to one or several products/tribes. Works with project/product teams and sponsors to provide solutions that address specific business problems/needs and ensures solution compliance/alignment with the architecture framework (guidelines, standards principles) Has a deep knowledge of the PI information system and technologies to suggest the most appropriate solution according to the business requirements and provides insights that facilitate decision-making. Works in close collaboration with the other architects and with Subject Matter Experts, in addition to business and IT teams. Solution Architecture tasks Contribute to analyze the business needs and their importance. Contribute to analyze functional and non-functional requirements. Analyze current technologies/services, available at BNP Paribas. Make architectural recommendations. Determine how to use them to design the most appropriate solution. Define solution scenarios and criteria to facilitate decision-making. Define solution evolution stages according to business priorities. Contribute to validate technology assumptions. Contribute to prepare testing requirements and strategy. Maintain Architectural designs/diagrams in the repository tool (EA Sparx). Solution implementation and support Contribute to build solution prototype (PoC, MVP) Support project/product teams to understand the Architecture design Architecture Vision Understand architecture vision and technology trends of BNP Paribas. Explore practical application of existing, new and emerging technologies and solutions in the Industry. Contribute to technology watch studies(PoC / MVP) in the area of expertise for product/project perimeter. Reference Architecture Contribute to reference architecture of the Group. Contribute to architecture framework and maintenance of PI IT & the Group. Evaluate supplier capabilities with respect to third party tools and how they could contribute to the overall solution. Govern and Control Contribute to prepare project architecture documentation (PAD), detailed specifications, etc. Support project manager as part of architecture committees Ensures that solutions satisfy architecture guidelines, standards, and principles. Ensure that architecture specifications fit with service level expectations. Responsibilities Direct Responsibilities Analyze requirements (functional and non-functional) and create solution architecture. Prepare decision paper for different solution scenarios. Responsible for the architecture document in quality of content and completeness (security aspects, risks, diagrams, cloud maturity aspects). Create use case realizations with detailed information for development team. Maintain EA Sparx repository regularly and keep it updated. Contributing Responsibilities Support development team regarding questions related to the proposed architecture. Review output of development regarding the designed solution. Support creation of architecture blueprints. Technical & Behavioral Competencies Technical: Has more than 4 years of experience as Solution Architect and minimum 8 years of experience in software development Has a good knowledge in enterprise modelling tool (EA Sparx, ArchiMate, etc.) Experienced in developing Java based Web Applications using frameworks like Spring, SpringBoot, Hibernate, Angular/JSP, Tomcat/Websphere and Database (Oracle/MySQL/PostGres). Has a good knowledge in design principles (DDD, event driven design, REST API design with OpenAPI (swagger), documentation) Has practical experience in architecture concepts like micro services. Has a good knowledge in architecture patterns to build secure cloud solutions (IBM cloud, AWS, Azure, Open stack etc.) Is familiar with architecture frameworks (e.g., TOGAF). Expert in modelling methods (e.g., UML, BPMN) Has a good knowledge in data modelling. Knows current technologies about cloud, cyber security, data. Experience in architecture and design of frontend applications (web and mobile) and related technologies Has long experience in software development of complex IT projects. Has good knowledge in CI/CD processes, Gitlab/Github, Ansible, Fortify, NexusIQ and Cloud or virtual environments like OpenShift or similar. Has detailed knowledge about IT authentication and authorization standards like OAuth, SAML, IDPs, LDAP, SSO technologies. Has awareness of International and European standards regarding Cyber Security, financial communication protocols, European accessibility act. Behavioral : Communication expertise is mandatory, as solution architects need to be able to understand and communicate with business and IT (different roles). Strong presentation skills Works very structured and organized. Has very good analytical skills and able to explain complex issues. Has experience working in agile teams. Is a critical thinker, engaged and responsible. Fluent in English both speaking and writing which is a must. German speaking is an advantage. Specific Qualifications (if required) Skills Referential Behavioral Skills : (Please select up to 4 skills) Creativity & Innovation / Problem solving Ability to collaborate / Teamwork Attention to detail / rigor Ability to deliver / Results driven Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to develop and adapt a process Ability to understand, explain and support change Ability to anticipate business / strategic evolution Ability to manage / facilitate a meeting, seminar, committee, training Education Level: Master Degree or equivalent Experience Level: At least 10 years Other/Specific Qualifications (if required) Skill Name 1. Java, Spring, Oracle 2. Architectural Solutions 3. EA Sparx 4. UML / BPMN 5. Authentication/Authorization 6. Design patterns 7. Cloud topics

Position Purpose The role of Technical Architect is to design, implement, and maintain a robust and scalable applications. This framework would require ensuring compliance with regulatory requirements while optimizing operational efficiency. Technical Architect would play a pivotal role in safeguarding BNPP Group against fraud, money laundering, and other financial crimes by leveraging advanced technologies and innovative solutions. This position is critical in driving technical vision, strategy of core banking team, thereby contributing to the overall risk management and integrity of the organization. Position will require to work in a globally distributed setup. Responsibilities Direct Responsibilities Lead the design of enterprise-level software solutions leveraging technology frameworks Collaborate with cross-functional teams to gather requirements and create architectural blueprints for complex systems Design and implement scalable, resilient, and secure distributed architectures which are cost-effective. Provide technical guidance and mentorship to development teams on best practices, design patterns, and coding standards. Contributing Responsibilities Perform architectural reviews, code reviews, and technology assessments to ensure adherence to BNPP CIB defined architectural principles and standards. Stay abreast of industry trends, emerging technologies, and best practices in architecture. Lead automation and guide teams to align with shift left and shift right strategy by encouraging a mindset for automation first and reduce recursive manual efforts Take ownership of technical feasibility studies, demos, proposal development and represent in ITSVC (architectural committee) Technical & Behavioral Competencies Strong knowledge in RDBMS / SQL with Oracle or SQL server or Postgres Troubleshooting & Performance tuning using any profiling tools e.g. Dynatrace, JProfiler etc. Hands-on experience with containerization and orchestration tools such as Docker, Kubernetes, and Helm. Experienced on building CI/CD pipelines, Bitbucket, Git, Jenkins, SonarQube, infrastructure as code (IaC), and serverless computing. Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences. Ability & willingness to learn & work on diverse technologies (languages, frameworks, and tools) Specific Qualifications (if required) Project Management skills in Core Banking systems Good hands on MS Office (Excel, PowerPoint, MS Projects) Handson experience in Project Management Tools (Clarity / JIRA / ServiceNow) Good to have exposure to Oracle, Autosys /Unix/Linux Certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Professional Cloud Architect. Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Client focused Ability to deliver / Results driven Attention to detail / rigor Transversal Skills: (Please select up to 5 skills) Analytical Ability Ability to develop and adapt a process Ability to develop others & improve their skills Education Level: Bachelor Degree or equivalent Experience Level At least 12 years Other/Specific Qualifications (if required) 10+ years of experience in Financial Services Technical Architecture and Design skills

We are seeking a highly skilled and experienced Data Engineering Manager to lead and grow our data platform team. The ideal candidate will have a proven track record in driving data-driven innovation, leading high-performing teams, and delivering impactful solutions. You will be responsible for setting the strategic direction for our data platform initiatives, collaborating with cross-functional teams, and fostering a culture of data-driven decision-making. What you will do Team Leadership: Recruit, hire, and develop a talented team of data scientists and machine learning engineers. Mentor and coach team members to foster professional growth and innovation. Strategic Leadership: Develop and execute the long-term data science strategy, aligning with the overall business goals. Collaborate with senior leadership to communicate the value of data science initiatives and secure necessary resources. Team Management: Oversee the end-to-end lifecycle of data engineering projects, from ideation to deployment and ongoing monitoring. Ensure projects are delivered on time, within budget, and meet the highest quality standards. Technical Expertise: Implement best practices in terms of coding, design and architecture Provide technical guidance and support to the data engineering team. What You Have 5+ years of team leadership and 10+ years of total data engineering experience working in partnership with large data sets Solid experience, developing and implementing DW Architectures, OLAP & OLTP technologies, data modeling with star/snowflake-schemas to enable self-service reporting and data lake. Hands-on deep experience with cloud data tech stack, and experience working with query engines like Redshift, EMR, AWS RDS or similar Experience building data solutions within any cloud platforms using Postgres, SQL Server, Oracle and other similar services and tools Advanced SQL and programming experience with Python and/or Spark Experience or demonstrated understanding with real-time data streaming tools like Kafka, Kinesis or any similar tools Familiarity with BI & dashboarding tools and multi-dimensional modeling Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing big data systems Excellent communication and presentation skills as youll be regularly interacting with stakeholders and engineering leadership. Bachelors or master's in quantitative disciplines such as Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, or other scientific fields. Nice to Have : Certification in one of the cloud platforms (AWS/GCP/Azure)

About the Role : We are seeking a highly motivated and experienced Senior Backend Engineer to join our growing team. You will play a key role in building, improving, and maintaining our software solutions while effectively collaborating with US-based clients. Your strong technical skills will be complemented by your excellent communication abilities, allowing you to bridge the gap between technical development and client needs. Responsibilities : - Design, develop, and implement robust and scalable backend features using Node.js and Typescript. - Collaborate with product managers and designers to understand client requirements and translate them into technical specifications. - Advocate for and implement test-driven development (TDD) practices to ensure code quality, maintainability, and testability. - Write clean, maintainable, and well-documented code adhering to best practices. - Troubleshoot and resolve complex technical problems related to the backend. - Continuously learn and apply new technologies, methodologies, and languages. - Effectively communicate technical concepts, progress updates, and solutions to both technical and non-technical audiences, including US-based clients. - Identify areas for improvement in development efficiency and propose solutions to reduce "technical debt." - Work independently on smaller features and collaboratively with the team on larger projects. Technical Skills & Experience : - 5+ years of experience in backend development with a strong track record of delivering high-quality software. - Proficiency in Node.js and Typescript. - Experience with relational databases (e.g., Postgres, MySQL) and/or NoSQL databases (e.g. MongoDB). - Working knowledge of containerization technologies like Docker and Docker Compose. - Experience with CI/CD pipelines using tools like Jenkins or GitHub Actions. - Familiarity with unit testing frameworks like Jest or similar tools. - Understanding of Agile methodologies for software development. - Experience with AWS Cloud, preferably with serverless architecture concepts (a plus).

Position Overview We are seeking a motivated and experienced Senior Backend Engineer with approximately 5 years of professional experience to join our team. The ideal candidate will not only excel in building and improving software solutions but also possess strong communication skills to effectively interact with US-based clients. Key responsibilities and expectations include: Proactive Problem Solver: Self-motivated to build and improve solutions to software problems, always looking for innovative ways to enhance our systems. Continuous Learner: Eager to learn new technologies, methodologies, and languages, and open to experimenting and learning from failures. Effective Communicator: Capable of clearly and concisely communicating complex technical, architectural, and organizational issues to both technical and non-technical stakeholders, and proposing thorough, iterative solutions. Experienced Professional: Approximately 5 years of relevant experience in backend development, demonstrating a strong track record of delivering high-quality software. Test-Driven Development Advocate: Committed to practicing test-driven development (TDD) to ensure robust, maintainable, and scalable code. Client-Facing Skills: Able to effectively communicate with US clients, understanding their needs and translating them into technical requirements. Efficiency Enhancer: Recognize impediments to our efficiency as a team ("technical debt"), propose, and implement solutions. Feature Developer: Develop features and improvements to ongoing projects in a secure, well-tested, and performant way. Problem Solver: Solve technical problems of moderate scope and complexity. Independent Contributor: Confidently ship small features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects. If you are a dedicated professional who thrives in a dynamic environment and meets the above qualifications, we would love to hear from you. Technical Stack and Skills: Languages: Typescript, NodeJS Databases: Postgres or MySQL or similar, MongoDB or similar Containerization: Docker and Docker Compose CI/CD: Jenkins, GitHub Actions, or similar Testing: Unit Testing Frameworks such as Jest or similar Methodologies: Agile methodology Cloud: AWS Cloud Experience (preferably serverless architecture)

Primary: Postgres, PgVector, Vectorized database, SQL Experience - 6 years - 9 years Location - Pune / Mumbai / Chennai / Bangalore Working exp with DB: Postgres, hive, MS SQL Experience with scripting : python, UNIX shell, spark Experience in working with AI project added advantage

We are seeking a Senior DevOps Software Engineer to join the Labs software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior DevOps Software Engineer will design and implement deployment strategies for AI systems using the AWS stack, ensuring high availability, performance, and scalability of applications. Roles & Responsibilities: Design and implement deployment strategies using the AWS stack, including EKS, ECS, Lambda, SageMaker, and DynamoDB. Configure and manage CI/CD pipelines in GitLab to streamline the deployment process. Develop, deploy, and manage scalable applications on AWS, ensuring they meet high standards for availability and performance. Implement infrastructure-as-code (IaC) to provision and manage cloud resources consistently and reproducibly. Collaborate with AI product design and development teams to ensure seamless integration of AI models into the infrastructure. Monitor and optimize the performance of deployed AI systems, addressing any issues related to scaling, availability, and performance. Lead and develop standards, processes, and best practices for the team across the AI system deployment lifecycle. Stay updated on emerging technologies and best practices in AI infrastructure and AWS services to continuously improve deployment strategies. Familiarity with AI concepts such as traditional AI, generative AI, and agentic AI, with the ability to learn and adopt new skills quickly. Functional Skills: Deep expertise in designing and maintaining CI/CD pipelines and enabling software engineering best practices and overall software product development lifecycle. Ability to implement automated testing, build, deployment, and rollback strategies. Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Experience with databases (Postgres/DynamoDB) Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Basic Qualifications: Bachelors degree in Computer Science, AI, Software Engineering, or related field. 5+ years of experience in full-stack software engineering.

ABOUT THE ROLE Role Description: We are seeking a Reference Data Management Senior Analyst who a s the Reference Data Product team member of the Enterprise Data Management organization, will be responsible for managing and promoting the use of reference data, partnering with business Subject Mater Experts on creation of vocabularies / taxonomies and ontologies, and developing analytic solutions using semantic technologies . Roles & Responsibilities: Work with Reference Data Product Owner, external resources and other engineers as part of the product team Develop and maintain semantically appropriate concepts Identify and address conceptual gaps in both content and taxonomy Maintain ontology source vocabularies for new or edited codes Support product teams to help them leverage taxonomic solutions Analyze the data from public/internal datasets. Develop a Data Model/schema for taxonomy. Create a taxonomy in Semaphore Ontology Editor. Perform Bulk-import data templates into Semaphore to add/update terms in taxonomies. Prepare SPARQL queries to generate adhoc reports. Perform Gap Analysis on current and updated data Maintain taxonomies in Semaphore through Change Management process. Develop and optimize automated data ingestion / pipelines through Python/PySpark when APIs are available Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Identify and resolve complex data-related challenges Participate in sprint planning meetings and provide estimations on technical implementation. Basic Qualifications and Experience: Masters degree with 6 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 8 years of experience in Business, Engineering, IT or related field OR Diploma with 9+ years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Knowledge of controlled vocabularies, classification, ontology and taxonomy Experience in ontology development using Semaphore, or a similar tool Hands on experience writing SPARQL queries on graph data Excellent problem-solving skills and the ability to work with large, complex datasets Understanding of data modeling, data warehousing, and data integration concepts Good-to-Have Skills: Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.). Experience using cloud services such as AWS or Azure or GCP Experience working in Product Teams environment Knowledge of Python/R, Databricks, cloud data platforms Knowledge of NLP (Natural Language Processing) and AI (Artificial Intelligence) for extracting and standardizing controlled vocabularies. Strong understanding of data governance frameworks, tools, and best practices Professional Certifications : Databricks Certificate preferred SAFe Practitioner Certificate preferred Any Data Analysis certification (SQL, Python) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT THE ROLE We are seeking a Senior Full-Stack Software Engineer to join the Labs software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior Full-Stack Software Engineer will play a key role in turning AI concepts into products, working closely with product managers and AI and software engineers and architects. This is a hands-on, cross-functional role that blends modern software development with AI integration in a rapid innovation and prototyping operating model. Roles & Responsibilities: Design, develop, and maintain microservices to ensure the software is modular, scalable, and maintainable. Create and manage RESTful APIs to facilitate seamless communication between different software components and external systems. Apply and advocate for best practices in software development, including code reviews, unit testing, continuous integration, and continuous deployment. Implement and manage deployments using Docker to ensure consistent and efficient application delivery across different environments. Design, implement, and maintain database schemas, ensuring efficient data storage, retrieval, and manipulation. Develop user-friendly and responsive front-end applications using modern web technologies to provide a seamless user experience. Work closely with product managers, designers, and other engineers to deliver high-quality software solutions that meet business requirements. Identify and resolve software issues and bugs promptly to ensure smooth operation and minimal downtime. Stay updated with emerging technologies, industry trends, and best practices in software development to continuously improve skills and knowledge. Promotes code quality through reviews, static analysis tools, and adherence to team standards and best practices. Provide guidance and mentorship to junior engineers, fostering a collaborative and growth-oriented team environment. Functional Skills: Deep understanding of software engineering best practices and overall software product development lifecycle, including version control, CI/CD, TDD, and agile methodologies. Strong grasp of OOP, design patterns, and clean code principles with a focus on maintainability and testability. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Proficiency in JavaScript and modern web technologies, including React, Angular, and Node.js Experience with databases (Postgres/DynamoDB) Experience managing and deploying infrastructure in at least one cloud provider such as AWS (preferred), Azure, or Google Cloud. Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Basic Qualifications: Bachelors degree in Computer Science, AI, Software Engineering, or related field. 5+ years of experience in full-stack software engineering.

Role: Sr Python FastAPI Developer Location: Mumbai Experience: 4yrs to 7yrs Technologies / Skills: Python (FastAPI), Advance SQL, Postgres, DynamoDB, Docker Responsibilities: - Build high-performance REST APIs & WebSockets to power web applications. - Design, develop, and maintain scalable and efficient backend services using FastAPI for web applications. - Coordinating with development teams to determine application requirements and integration points. - Understanding of fundamental design principles behind a scalable application and writing scalable code. - Implement security best practices to safeguard sensitive data and ensure compliance with privacy regulations. - Own and manage all phases of the software development lifecycle planning, design, implementation, deployment, and support. - Build reusable, high-quality code and libraries for future use that are high-performance and can be used across multiple projects. - Conduct code reviews and provide constructive feedback to team members. - Stay up-to-date with emerging technologies and trends in Python development and FastAPI framework. - Ensuring the reliability and correctness of FastAPI applications using Pytest - Defines and documents business requirements for complex system development or testing - Comfortable working with agile / scrum / kanban - Willingness to join a distributed team operating across different time-zones Required Qualification for Sr Python FastAPI Developer - Bachelors degree in IT, computer science, computer engineering, or similar - Min. 3+ years of experience in Python (FastAPI) development. - Strong understanding of asynchronous programming and background tasks. - Knowledge of Pydantic, CRON jobs scheduler, Swagger Ul for endpoints. - Proficiency in database management systems.(e. g., DynamoDB, PostgreSQL). - Familiarity with containerization technologies such as Docker. - Excellent verbal and written communication skills - Experience with version control systems (e.g., Git, Git actions) is a plus.

What You'll Do Job Description: You will Provide 24/7 administrative support (on-prime and Atlas Cloud) on MongoDB Clusters, Postgres & Snowflake Provide support for on-prime and Confluent Cloud Kafka Clusters You will Review database designs to ensure all technical and our requirements are met. Perform database Optimization, testing to ensure Service level agreements are met. You will support during system implementation and in production Provide Support for Snowflake Administrative Tasks (Data Pipeline, Object creation, Access) Participate in Weekdays and Weekend Oncall Rotation to support Products running on Mongo, SQL, Kafka & Snowflake, and other RDBMS Systems. This roles does not have any managerial responsibilities. Its an individual contributor role. You will report to Sr. Manager Reliability Engineering. What Your Responsibilities Will Be 8+ years of experience in Managing MongoDB on-prime and Atlas Cloud Be an part of the database team in developing next-generation database systems. Provide services in administration and performance monitoring of database related systems. Develop system administration standards and procedures to maintain practices. Support backup and recovery strategies. Provide in the creative process to improving architectural designs and implement new architectures Expertise in delivering efficiency and cost effectiveness. Monitor and support capacity planning and analysis. Monitor performance, troubleshoot issues and proactively tune database and workloads. Sound knowledge Terraform, Grafana and Manage Infra as a code using Terraform & Gitlab. Ability to work remotely. What You'll Need to be Successful Working knowledge of MongoDB (6.0 or above). Experience with Sharding and Replica sets. Working knowledge of database installation, setup, creation, and maintenance processes. Working knowledge on Change Streams and Mongo ETL's to replicate live changes to downstream Analytics systems. Experience running MongoDB in containerized environment (EKS clusters) Support Reliability Engineering task for all other database platform (SQL, MYSQL, Postgres, Snowflake, Kafka). Experience with Cloud or Ops Manager (a plus) Understand Networking components on aws and gcp cloud. Technical knowledge of Backup/ Recovery. Disaster Recovery and High Availability techniques Strong technical knowledge in writing shell scripts used to support database administration. Good Understanding of Kafka and Snowflake Administration. Good Understanding of Debezium, Kafka, Zookeeper and Snowflake is plus. Automate Database Routine tasks Independently with shell, python and other languages.

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, Machine Learning What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Promote innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Experience working with technological innovations in AI & ML(esp. GenAI) and apply them. Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's/Master's degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team.

Technical Infrastructure: Heres just some of what we use: AWS (EC2, IAM, EKS etc.), Terraform Enterprise, Docker, Kubernetes, Aurora, Mesos, HashiCorp Vault and Consul Datadog and PagerDuty Microservices architecture, Spring, Java & NodeJS, React, Koa, Express.js. Amazon RDS, Dynamo DB, Postgres, Oracle, MySQL, GitHub, Jenkins, Concourse CI , Jfrog Artifactory About the role: You will constantly be asking; what are the most important infrastructure problems we need to solve for today that will increase our applications and infrastructures reliability and performance. You will apply your deep technical knowledge, taking a broad look at our technology infrastructure. Youll help us identify common and systematic issues and validate these, prioritizing which to strategically address first. We value collaboration. So, you will partner with our SRE/DevOps team, discussing and refining your ideas and preparing proof of concepts. You will present and validate these across technology teams, figuring out the best solution and youll be given ownership to engineer and implement your solutions. Theres lot of interesting technology problems for you to solve, so you are constantly applying latest thinking. These include, implementing Canary, designing a new automated pipeline solution, extension of Kubernetes capabilities, implementation of machine learning to build load testing, ensuring mutability of containerization etc. You will get to evaluate existing technologies and design the future state without being afraid to challenge the status quo. And youll regularly review existing infrastructure, looking for opportunities to improve (E.g. service improvements, cost reduction, security, performance). Youll also get to automate everything necessary, combining reliability with a pragmatic approach, doing it right, first time. Were continuing our journey of making our code and configuration deployments self-serve for our development teams. Youll help us build and maintain the right tooling and youll have ownership to design and implement the infrastructure needed Youll also be involved in the daily management of our AWS infrastructure. This means working with our Agile development teams, to troubleshoot server, application, and performance issues Skills & Experience: Relevant 5 to 8 years hands-on SRE/DevOps experience in an Agile environment Substantial experience with AWS services in a production environment. Demonstrated expertise in managing and modernizing legacy systems and infrastructure. Youll be able to collaborate effectively with both engineers and operations, and be comfortable recommending best practices You have the expertise and skills to navigate the AWS ecosystem and will know when and where to recommend the most appropriate service, and/or usage pattern. You have experienced resolving outages, and are able to quickly diagnose issues and been instrumental in restoring normal service levels You have an intellectual curiosity, and an appetite to learn more Strong hands-on experience working with Linux environments; Windows experience is a plus. Strong Proficiency in scripting languages (e.g., Bash, Python) for automation and process optimization. Experience with CI/CD tools such as Jenkins, GitHub Actions, Concourse CI preferably. Expertise in containerization technologies like Docker and orchestration tools such as Kubernetes. Practical experience managing event-driven systems, messaging queues, and load balancers. Strong understanding of monitoring, logging, and observability tools to ensure system reliability. Good to have Datadog, Pager duty exposure. Proven ability to troubleshoot critical outages, identify root causes, and restore service quickly. Proficiency in HashiCorp technologies including Terraform IaC, Vault (Secret management) and Consul (service discovery and config management). Youll also have significant experience and/or an interest in the following: Managing cloud infrastructure as code preferably using Terraform Application Container Management and orchestration primarily in Kubernetes environments preferably AWS EKS Maintaining managed databases including AWS RDS. Experience in how to tune, scale and how performance and reliability are achieved. Good understanding of PKI infrastructure and CDN technologies including AWS Cloud front Expertise in AWS security including AWS IAM service. Experience with AWS lambda, AWS Sagemaker. Experience working and strong understanding with firewalls, network and application load balancing. A strong and informed point of view with respect to monitoring tools and how best to use them. Ability to work cloud-based environments spanning multiple AWS accounts management and integration. An analytical mindset with a passion for identifying and solving infrastructure bottlenecks.

Design, create and support Python Lambda services that publish to SNS/SQS on AWS or Kafka topics Should have experience working with MONGODB and Postgres databases as the backend database. Open API spec, create and supporting API's written in Python.

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's/Master's degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

We are looking for a skilled Full Stack Engineer with 3 to 8 years of experience to join our team in Kolkata. The ideal candidate will have a strong background in building modern systems using NodeJS and AngularJS/Angular. Roles and Responsibility Design and implement scalable, robust, and portable applications that run smoothly on-premise or in the cloud. Develop highly scalable, robust, and portable application that runs smoothly on-premise or in the cloud. Work on a highly technical platform that empowers users to easily perform complex behavioral analytics. Integrate user-facing elements developed by front-end developers with server-side logic. Build monitoring and alerting solutions, automation tools, and continuous integration environments. Implement security and data protection requirements. Job Requirements Excellent JavaScript/TypeScript skills and experience with server-side MVC web frameworks and RESTful APIs. Strong experience designing, scaling, debugging, and optimizing systems for speed and reliability. Self-motivated, able, and open to learning. Excellent problem-solving skills and ability to work well as part of a small agile team. Experience with Express, Redis, MongoDB, Postgres, and familiarity with AWS, GCP, and other cloud providers. Built and worked on complex web applications. Significant experience (3+ years) in engineering scalable, multi-tenant environments. Solid understanding of modern tech stack, DevOps, and security infrastructure. Experience with microservices. SQL, Linux, AWS, GCP, D3, ML.

5+ years of hands-on experience in Product Development and Product Customization in all facets of the web and mobile application development life cycle, from requirement analysis, architecture, design, code, UAT and post-implementation revisions. Worked on latest Java version Java 21, Framework- Spring Boot, Quarkus Have experience of AI/ML based solution with framework like Django, Fast API etc. Agentic AI will be an advantage Application development experience using Non-Structured (Mongo, Scylla, Datastore) and Structured databases (Postgres, My-SQL, MS SQL server, Oracle) Have working experience on Kafka, Rabbit-MQ etc Must have the working knowledge of Code Quality using tool like Sonar etc. Working knowledge of CICD pipelines. Team Leadership: Lead and manage a team of Java developers, providing technical guidance, mentorship, and support to ensure the successful delivery of projects. Technical Expertise: Utilize your strong Core Java knowledge and expertise to review and guide the team in writing high-quality, efficient, and scalable Java code. Scope Definition: Collaborate with stakeholders to define project scope, requirements, and deliverables, ensuring a clear understanding of project goals. Experience with client-facing roles and managing customer expectations. Ability to manage multiple projects simultaneously and prioritize tasks effectively. Proven track record of delivering complex Java projects on time and within budget. Strong communication skills both written and verbal .