370 Lambda Jobs - Page 13

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

The Team: S&P Global isa global market leader in providing information, analytics and solutions for industries and markets that drive economies worldwide. The Market Intelligence (MI) division is the largest division within the company. This is an opportunity to join the MI Data and Researchs Data Science Team whichis dedicated to developing cutting-edge Data Science and Generative AI solutions. We are a dynamic group that thrives on innovation and collaboration, working together to push the boundaries of technology and deliver impactful solutions. Our team values inclusivity, continuous learning, and the sharing of knowledge to enhance our collective expertise. Responsibilities and Impact: Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models. Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery. Automate cloud infrastructure using Terraform. Write unit tests, integration tests and performance tests Work in a team environment using agile practices Support administration of Data Science experimentation environment including AWS Sagemaker and Nvidia GPU servers Monitor and optimize application performance and infrastructure costs. Collaborate with data scientists and other developers to integrate and deploy data science models into production environments Educate others to improve and coding standards, code quality and test coverage, documentation Work closely with cross-functional teams to ensure seamless integration and operation of services. What Were Looking For : Basic Required Qualifications : 5-8 years of experience in software engineering Proficiency in Python and JavaScript for full-stack development. Experience in writing and maintaining high quality code utilizing techniques like unit testing and code reviews Strong understanding of object-oriented design and programming concepts Strong experience with AWS cloud services, including EKS, Lambda, and S3. Knowledge of Docker containers and orchestration tools including Kubernetes Experience with monitoring, logging, and tracing tools (e.g., Datadog, Kibana, Grafana). Knowledge of message queues and event-driven architectures (e.g., AWS SQS, Kafka). Experience with CI/CD pipelines in Azure DevOps and GitHub Actions. Additional Preferred Qualifications : Experience writing front-end web applications using Javascript and React Familiarity with infrastructure as code (IaC) using Terraform. Experience in Azure or GPC cloud services Proficiency in C# or Java Experience with SQL and NoSQL databases Knowledge of Machine Learning concepts Experience with Large Language Models

The Team We are seeking an experienced, technically strong TechOps Engineer to join a global team that delivers specialized technical support of major product deliverables and availability of our products. This role focuses on continuously improving support processes through collaboration centralizing on proactive, technical and innovative engagements across business stakeholders, operations and development teams. Responsibilities Apply strong technical skills and good business knowledge together with investigative techniques to identify and resolve issues efficiently and in a timely manner Immerse in the business domain, identify and implement innovative solutions and technologies that enhance system and application monitoring Demonstrate excellent communication skills valuable for managing service incidents and working collaboratively with other teams Implement and monitor system alerts for early detection and mitigation of potential service incidents Involve and contribute solutions that address system and application vulnerabilities Constantly coordinate with product and development teams to ensure support readiness of new releases and enhancements Work on tooling, solutions and automation of operational support functions Education and experience University Graduate with Bachelors Degree in Computer Science or Computer Engineering related degree. Exp - 4+ years of exp Extensive experience in an Application Support role Experience working on AWS cloud technologies (Lambda, SQS, SNS, S3, Dynamo DB, Step Functions, EC2, Fargate etc.) Must be knowledgeable in SDLC and experience in raising development bugs including priority assessment, high quality analysis, and detailed investigation Must have fundamental working knowledge of RDBMS (Oracle, SQL server and RDS) including stored procs, complex joins, database query plan analysis and monitoring Broad knowledge of server administration across different operating systems such as Linux and Windows technologies. Good shell scripting experience is a must. Ability to use python scripting is an advantage Ideally familiar with monitoring tools such as DataDog, PagerDuty, Splunk and Centreon Demonstrable experience of working on highly transactional, available and scalable business critical systems Good understanding of software architecture; understanding component and application breakdown and interaction Commercial awareness Knowledge of, or experience of working in the financial services industry would be a plus Excellent understanding of software systems and technology Good understanding of software support team functions and a solid understanding of the end to end application development process. A strong desire to keep up with all of the latest developments in related technologies Personal competencies Confident individual who can represent the team at various levels. Excellent analytical and problem-solving skills Ability to carry out business impact analysis and prioritize tasks according to severity and importance Communication Must be a strong communicator both written and verbally in English Excellent listening, presentation and interpersonal skills Ability to communicate ideas in both technical and user-friendly languages Teamwork Ideal candidate is a self-starter capable of working independently as well as contribute to the teams requirements Be able to work flexible shift hours including weekends to meet work requirements and project deadlines

We are looking for a Senior Software developer ((Java+React+AWS)) to join our team responsible for building technology solutions for various business risk and control functions. You will work with the Technical Leads/Architects, Business stakeholders and ensure we are meeting their requirements to develop and drive automation. The candidate should be quick learner and keep themselves upgraded with the latest knowledge. 4-8 Years of Experience. Preferred Skillset: FullStack Developers (Java App Development + React + AWS). Responsibilities: Designing, implementing, and maintaining software solutions that cater to diverse business needs Strong programming skills in Java and should collaborate with architect, data team, web developers, and DevOps to deliver high-quality components or services to the business needs Logical and Analytics thinking and apply them to deliver the incubation solution, MVPs, prototypes Experience in AWS components including Lambda, ECS containers, RDS DBs like Postgres, DynamoDB etc. As well as Message brokers such as AWS SQS, AWS SNS, Kinesis Experience in designing and developing RESTful APIs Hands on experience with API tools such as Swagger and Postman Good understanding of one or more Integration test frameworks Working on Unit test cases & Integration testing frameworks Good understanding of CI/CD tools Should have experience working within an Agile framework (ideally Scrum)

We are looking for a Senior Software developer ((Java+Angular+AWS)) to join our team responsible for building technology solutions for various business risk and control functions. You will work with the Technical Leads/Architects, Business stakeholders and ensure we are meeting their requirements to develop and drive automation. The candidate should be quick learner and keep themselves upgraded with the latest knowledge. 5-8 Years of Experience. Preferred Skillset: FullStack Developers (Java App Development + Angular + AWS). Responsibilities: Software development experience with expertise in Java 8+ and knowledge of latest Java 9 features. Extensive knowledge and hands-on experience in Java frameworks available such as Spring MVC , Spring Boot and Hibernate / Spring JDBC. Should have working knowledge on designing and implementation of REST Web services. Experience with Agile Scrum Methodology. Experience working JavaScript framework like React Js/ Angular Experience working on highly interactive UIs using HTML5, CSS3,Bootstrap Should have working knowledge on designing and implementation of REST Web services. Ability & willingness to learn technologies at pace. Good communication skill Knowledge of Jenkin/Drone/Microsoft Azure DevOps, Git, App Dynamics, Splunk, Docker/Containerization, Terraform etc. Technical certifications AWS, Java, DevOps etc

Position: Senior AWS Data Engineer - Interested candidates can send their resumes to heena.ruchwani@gspann.com Experience: 6+ Years Locations: Pune, Hyderabad, Gurugram, Bangalore Notice Period: Immediate to 30 Days Preferred Job Description: We are hiring a Senior AWS Data Engineer to join our growing team. The ideal candidate will have deep expertise in AWS data services, strong ETL experience, and a passion for solving complex data problems at scale. Key Responsibilities: Design and develop scalable, high-performance data pipelines in AWS Work with services like Glue, Redshift, S3, EMR, Lambda, and Athena Build and optimize ETL processes for both structured and unstructured data Collaborate with cross-functional teams to deliver actionable data solutions Implement best practices for data quality, security, and cost-efficiency Required Skills: 6+ years in Data Engineering 3+ years working with AWS (Glue, S3, Redshift, Lambda, EMR, etc.) Proficient in Python or Scala for data transformation Strong SQL skills and experience in performance tuning Hands-on experience with Spark or PySpark Knowledge of data lake and DWH architecture Nice to Have: Familiarity with Kafka, Kinesis, or real-time data streaming Exposure to Terraform or CloudFormation Experience with CI/CD tools like Git and Jenkins How to Apply: Interested candidates can send their resumes to heena.ruchwani@gspann.com

Full Stack Architect for GRID System development, handling frontend (React/NextJS) AWS serverless backend (AppSync/GraphQL, DynamoDB, Lambda). Responsibilities include CI/CD (Terraform), UX/UI (Figma), security, testing & third-party API integration.

We are looking for DevOps Engineer How do you craft the future Smart Buildings? Were looking for the makers of tomorrow, the hardworking individuals ready to help Siemens transform entire industries, cities and even countries. Get to know us from the inside, develop your skills on the job. Youll make a difference by Designing, deploying, and managing AWS cloud infrastructure, including compute, storage, networking, and security services. Implementing and maintaining CI/CD pipelines using tools like GitLab CI, Jenkins, or similar technologies to automate build, test, and deployment processes. Collaborating with development teams to streamline development workflows and improve release cycles. Monitor and troubleshoot infrastructure and application issues, ensuring high availability and performance. Implementing infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and configuration management. Maintaining version control systems and Git repositories for codebase management and collaboration. Implementing and enforce security best practices and compliance standards in cloud environments. Continuously evaluate and embrace new technologies, tools, and best practices to improve efficiency and reliability. There are a lot of learning opportunities for our new team member. An openness to learn more about data analytics (including AI) offerings is part of your motivation Your defining qualities A University degree in Computer Science or a comparable education, we are flexible if a high quality of code is ensured. Proven experience (3-5 years) with common DevOps practices such as CI/CD pipelines (GitLab), Container and orchestration (Docker, ECS, EKS, Helm) and infrastructure as code (Terraform) Working knowledge of TypeScript, JavaScript, and Node.js. Good exposure to AWS cloud Thriving in working independently, i.e., can break down high-level objectives into concrete key results and implement those. Able to work with AWS from day one, familiarity with AWS services beyond EC2 (e.g., Fargate, RDS, IAM, Lambda) is something we expect from applicants. Having good knowledge of configuring logging and monitoring infrastructure with ELK, Prometheus, CloudWatch, Grafana. When it comes to methodologies, having knowledge of agile software development processes would be highly valued. Having the right demeanor, allowing you to navigate within a complex global organization and getting things done. We need a person with an absolute willingness to support the team, a proactive and stress-resistant personality. Business fluency in English

We are looking for Site Reliability Engineer! Youll make a difference by: SRE L1 Commander is responsible for ensuring the stability, availability, and performance of critical systems and services. As the first line of defense in incident management and monitoring, the role requires real-time response, proactive problem solving, and strong coordination skills to address production issues efficiently. Monitoring and Alerting: Proactively monitor system health, performance, and uptime using monitoring tools like Datadog, Prometheus. Serving as the primary responder for incidents to troubleshoot and resolve issues quickly, ensuring minimal impact on end-users. Accurately categorizing incidents, prioritize them based on severity, and escalate to L2/L3 teams when necessary. Ensuring systems meet Service Level Objectives (SLOs) and maintain uptime as per SLAs. Collaborating with DevOps and L2 teams to automate manual processes for incident response and operational tasks. Performing root cause analysis (RCA) of incidents using log aggregators and observability tools to identify patterns and recurring issues. Following predefined runbooks/playbooks to resolve known issues and document fixes for new problems. Youd describe yourself as: Experienced professional with 4 to 6 years of relevant experience in SRE, DevOps, or Production Support with monitoring tools (e.g., Prometheus, Datadog). Working knowledge of Linux/Unix operating systems and basic scripting skills (Python, Gitlab actions) cloud platforms (AWS, Azure, or GCP). Familiarity with container orchestration (Kubernetes, Docker, Helmcharts) and CI/CD pipelines. Exposure with ArgoCD for implementing GitOps workflows and automated deployments for containerized applications. Possessing experience in Monitoring: Datadog, Infrastructure: AWS EC2, Lambda, ECS/EKS, RDS, Networking: VPC, Route 53, ELB and Storage: S3, EFS, Glacier. Strong troubleshooting and analytical skills to resolve production incidents effectively. Basic understanding of networking concepts (DNS, Load Balancers, Firewalls). Good communication and interpersonal skills for incident communication and escalation. Having preferred certifications: AWS Certified SysOps Administrator Associate, AWS Certified Solutions Architect Associate or AWS Certified DevOps Engineer Professional

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs EndToEnd Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / VectorDBs / AIAgents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

Description:Hands-on experience with AWS services including S3, Lambda,Glue, API Gateway, and SQS.Strong skills in data engineering on AWS, with proficiency in Python ,pyspark & SQL.Experience with batch job scheduling and managing data dependencies.Knowledge of data processing tools like Spark and Airflow.Automate repetitive tasks and build reusable frameworks to improve efficiency.Provide Run/DevOps support and manage the ongoing operation of data services. Location - Bangalore, Mumbai, Pune, Chennai, Kolkata, Hyderabad

Role & responsibilities 4+ years of overall experience with at least 3 years of experience in AWS Data Engineering • Implement ETL processes to extract, transform, and load data from various sources into data lakes or data warehouses. • Hands-on experience implementing data ingestion, ETL and data processing using AWS Glue, Spark, and Python: • Proficiency in AWS services related to data engineering, such as AWS IAM, S3, SQS, SNS, Glue, Lambda, Athena, RDS, and CloudWatch • Strong knowledge of SQL (e.g., joins and aggregations) and experience with relational databases • Monitor and troubleshoot data pipeline issues to ensure smooth operation. • CI/CD Pipelines: Good experience of CI/CD tools and pipelines, particularly Bitbucket, with experience in automating deployment processes. Experience in delivering AI/ML-related projects, including model development, data preprocessing, and deployment in production environments

With a deep focus on TypeScript, they are developing both the frontend (React/Next.js) and backend (Node.js/NestJS) of the platform. In addition, they are also responsible for the cloud infrastructure, including the setup of CI/CD pipelines, deployment processes, and monitoring via AWS services. They bring a solution-oriented mindset, strong communication skills (English), and a high level of ownership and reliability to the teamcontributing across all areas of the product development lifecycle. Language TypeScript (Fullstack) Frontend React (Next.js) - Tailwind CSS or MUI Backend Node.js with Express or NestJS Mobile (optional) React Native (Expo) Cloud AWS (e.g. EC2, ECS, Fargate, Lambda, S3, RDS) DevOps Docker, GitHub Actions (CI/CD), Monitoring Database PostgreSQL, Redis, DynamoDB Soft-Skills - Clear and proactive communication across time zones - Critical thinking and solution-oriented mindset - High reliability and ownership delivering consistent results - Collaborative working style that fits seamlessly into our startup culture - Continuous learning mentality, keeping up with best practices They dont just write code they contribute to product thinking, help us move fast without breaking things, and are a core part of our extended team.

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / Vector DBs / AI Agents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

We seek a seasoned Lead Full-Stack Engineer with 7+ years of expertise in front-end and back-end technologies and strong leadership and soft skills. The ideal candidate should be proficient in Angular, NodeJS, and Python, with additional experience in AWS, GoLang, and AI integration. This role requires availability to work within the EST time zone and will involve leading the development of innovative enterprise platforms while mentoring a team of engineers. Key Responsibilities : - Technical Leadership : Lead web application design, development, and maintenance using Angular and NodeJS. - Architect and optimize backend services and APIs using Python and GoLang. - Guide the integration of AI-driven features and tools into existing platforms. - Oversee the use of AWS cloud services for application deployment, scaling, and maintenance. - Monitor and optimize application performance on AWS. - Stay updated with emerging technologies and implement them in the development process. Team Collaboration and Soft Skills : - Mentorship : Mentor and guide junior engineers, fostering a collaborative and learning-oriented environment. - Communication : Effectively communicate technical concepts to both technical and non-technical stakeholders. - Problem-Solving : Proactively identify and resolve bottlenecks, ensuring smooth project delivery. Skills in the spotlight : - Front-End : Mastery in Angular for building dynamic user interfaces. - Back-End : Expertise in NodeJS and Python for developing scalable microservices. - Cloud : Extensive hands-on experience with AWS services (EC2, S3, Lambda, etc.). - Programming Languages : Advanced skills in GoLang for backend services. - AI : Proven experience in integrating AI/ML models into web or mobile applications. - DevOps : Strong knowledge of CI/CD pipelines and version control using Git. - Agile Methodologies : Proficiency in leading projects within Agile/Scrum environments. Preferred Qualifications : - Knowledge of additional JavaScript frameworks and libraries. - Experience with database management systems like MongoDB, PostgreSQL, or MySQL. - Familiarity with Docker and Kubernetes for containerization. - Understanding of secure coding practices and data protection.

Role: Lead Full Stack Engineer We seek a seasoned Lead Full-Stack Engineer with 7+ years of expertise in front-end and back-end technologies and strong leadership and soft skills. The ideal candidate should be proficient in Angular, NodeJS, and Python, with additional experience in AWS, GoLang, and AI integration. This role requires availability to work within the EST time zone and will involve leading the development of innovative enterprise platforms while mentoring a team of engineers. Key Responsibilities : - Technical Leadership : Lead web application design, development, and maintenance using Angular and NodeJS. - Architect and optimize backend services and APIs using Python and GoLang. - Guide the integration of AI-driven features and tools into existing platforms. - Oversee the use of AWS cloud services for application deployment, scaling, and maintenance. - Monitor and optimize application performance on AWS. - Stay updated with emerging technologies and implement them in the development process. Team Collaboration and Soft Skills : - Mentorship : Mentor and guide junior engineers, fostering a collaborative and learning-oriented environment. - Communication : Effectively communicate technical concepts to both technical and non-technical stakeholders. - Problem-Solving : Proactively identify and resolve bottlenecks, ensuring smooth project delivery. Skills in the spotlight : - Front-End : Mastery in Angular for building dynamic user interfaces. - Back-End : Expertise in NodeJS and Python for developing scalable microservices. - Cloud : Extensive hands-on experience with AWS services (EC2, S3, Lambda, etc.). - Programming Languages : Advanced skills in GoLang for backend services. - AI : Proven experience in integrating AI/ML models into web or mobile applications. - DevOps : Strong knowledge of CI/CD pipelines and version control using Git. - Agile Methodologies : Proficiency in leading projects within Agile/Scrum environments. Preferred Qualifications : - Knowledge of additional JavaScript frameworks and libraries. - Experience with database management systems like MongoDB, PostgreSQL, or MySQL. - Familiarity with Docker and Kubernetes for containerization. - Understanding of secure coding practices and data protection. Location : India

Location: India/Remote About the Job: We are seeking a seasoned Java Full Stack Enterprise Architect with 14 to 19 years of experience to lead and drive enterprise-level projects. The ideal candidate will have strong expertise in Java , AWS (Amazon Web Services) , Kafka , Docker , Kubernetes , and other cutting-edge technologies. This role requires experience in application transformation, modernization , and containerization initiatives. Prior experience in the healthcare industry is highly desirable. What you will do: Architectural Leadership Design and implement scalable, resilient, and secure full-stack solutions using Java and modern frameworks. Provide end-to-end architecture guidance for enterprise transformation and modernization projects. Define best practices for application design, development, deployment, and maintenance in a cloud-native environment. Cloud and AWS Solutioning Architect solutions leveraging AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB). Develop and maintain cloud migration strategies, ensuring high availability and cost optimization. Create detailed documentation, including solution designs and architectural diagrams. Containerization & Orchestration Lead the adoption of Docker and Kubernetes to containerize applications. Oversee the orchestration of microservices in distributed systems to ensure scalability and reliability. Define CI/CD pipelines to automate deployment processes. Data Streaming & Integration Design and implement event-driven architectures using Kafka. Ensure seamless integration across enterprise systems and data pipelines. Transformation & Modernization Drive legacy application modernization to microservices and cloud-native architecture. Assess current technology stack and recommend improvements to align with business goals. Team Collaboration Mentor engineering teams, fostering a culture of innovation and continuous improvement. Collaborate with cross-functional teams, including product managers, developers, and business stakeholders. Who you are: Education Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred). 14+ years of experience in Java Full Stack Architecture. Technical Skills: Core Expertise : Java, Spring Boot, RESTful APIs, and front-end technologies (e.g., Angular, React, or Vue.js). Cloud Technologies : Strong experience with AWS services , cloud-native application development, and deployment strategies. Containerization & Orchestration : Proficiency in Docker , Kubernetes , and Helm. Data Streaming : Advanced knowledge of Kafka , including architecture, implementation, and troubleshooting. Modernization : Hands-on experience with application transformation and legacy system modernization projects. Leadership : Proven ability to lead large teams, drive complex projects, and align technical deliverables with business objectives. Industry Knowledge : Prior experience in the healthcare industry is a plus but not mandatory. Preferred Qualifications Certifications: AWS Certified Solutions Architect or equivalent certifications. Experience with healthcare standards (e.g., HIPAA, HL7, FHIR) is a significant advantage. Strong understanding of DevOps practices and tools (e.g., Jenkins, GitHub Actions). Soft Skills Attention to detail. Dedicated self-starter with excellent people skills. Quick learner and a go-getter. Effective time and project management. Analytical thinker and a great team player. Strong leadership, interpersonal & problem-solving skills. English Language proficiency is required to effectively communicate in a professional environment. Excellent communication skills are a must. Strong problem-solving skills and a creative mindset to bring fresh ideas to the table. Should demonstrate confidence and self-assurance in their skills and expertise enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.

We are looking for a highly skilled Full Stack Developer with hands-on experience in Python, GenAI, and AWS cloud services. The ideal candidate should have proficiency in backend development using NodeJS, ExpressJS, Python Flask/FastAPI, and RESTful API design. On the frontend, strong skills in Angular, ReactJS, TypeScript, etc. are required. ### Roles and Responsibility Design and develop cloud-native applications and services using AWS services such as Lambda, API Gateway, ECS, EKS, DynamoDB, Glue, Redshift, EMR. Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy to automate application deployment and updates. Collaborate with architects and other engineers to design scalable and secure application architectures on AWS. Monitor application performance and implement optimizations to enhance reliability, scalability, and efficiency. Implement security best practices for AWS applications, including identity and access management (IAM), encryption, and secure coding practices. Design and deploy containerized applications using AWS services such as Amazon ECS (Elastic Container Service), Amazon EKS (Elastic Kubernetes Service), and AWS Fargate. Configure and manage container orchestration, scaling, and deployment strategies, while optimizing container performance and resource utilization by tuning settings and configurations. Implement and manage application observability tools such as AWS CloudWatch, AWS X-Ray, Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, Kibana). Develop and configure monitoring, logging, and alerting systems to provide insights into application performance and health, creating dashboards and reports to visualize application metrics and logs for proactive monitoring and troubleshooting. Integrate AWS services with application components and external systems, ensuring smooth and efficient data flow and diagnose/troubleshoot issues related to application performance, availability, and reliability. Create and maintain comprehensive documentation for application design, deployment processes, and configuration.### Job Requirements Proficiency in AWS services such as Lambda, API Gateway, ECS, EKS, DynamoDB, S3, and RDS, Glue, Redshift, EMR. Experience in developing and deploying AI solutions with Python and JavaScript. Strong background in machine learning, deep learning, and data modeling. Good understanding of Agile methodologies and version control systems like Git. Familiarity with container orchestration concepts and tools, including Kubernetes and Docker Swarm. Understanding of AWS security best practices, including IAM, KMS, and encryption. Observability Tools: Proficiency in using observability tools like AWS CloudWatch, AWS X-Ray, Prometheus, Grafana, and ELK Stack. Monitoring: Experience with monitoring and logging tools such as AWS CloudWatch, CloudTrail, or ELK Stack. Collaboration: Strong teamwork and communication skills with the ability to work effectively with cross-functional teams.

We are looking for a highly skilled and experienced professional with 1 to 3 years of experience to join our team as a Staff in the Data & Analytics domain. The ideal candidate will have a strong background in data analytics, excellent communication skills, and the ability to work collaboratively with cross-functional teams. ### Roles and Responsibility Contribute to various technical streams of EI implementation projects. Provide product and design-level technical best practices. Interface and communicate with onsite coordinators. Complete assigned tasks on time and provide regular status reports to the lead. Support business development activities through leading pursuits and developing strong relationships with existing clients. Participate in case teams to provide solutions to unstructured problems. ### Job Requirements BE/BTech/MCA/MBA with adequate industry experience. Strong SQL skills and experience in writing Stored Procedures for data transformation. Experience in ETL/Data Integration using Informatica or any standard tool. Good understanding of DWH concepts, SQL, and AWS cloud exposure (S3/EMR/Lambda/Glue). Experience using Snowflake as a Data Integration Tool. Certification is a plus. Performance analysis and performance tuning skills in Snowflake. Experience using semi-structured data with Snowflake is preferred. Experience with Clone, Time travel, and other advanced features in Snowflake. Familiarity with Agile project delivery. Exposure to cloud technologies such as Azure, AWS is preferred.

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting The Role and Responsibilities We have open positions ranging from Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Creating and maintaining documentation to support stakeholders and runbooks for operational excellence Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art data engineering techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or masters degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related) Exposure to building cloud ready applications Exposure to test-driven development and integration Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with ability to manage workload and meet deadlines in a fast-paced environment Collaborative team player Excellent verbal and written communication skills and command of English Willingness to travel Respect for confidentiality Technical Background Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

We are looking for a highly motivated individual that is excited about continually learning new things and being part of a fast-paced team that is delivering cutting edge solutions that drive new products and features that are critical for our customers. In this role, you will work across geographical and organizational boundaries with all levels of software engineers, technical management, and business partners. As part of the Development team, you will help maintain the quality, reliability and availability of key systems that provide search and information retrieval for our core products. The ideal candidate will have extensive skills in the areas of design, development, delivery, execution, leadership, mentoring and directing co-workers across geographic boundaries. About the Role: In this role you will play a Senior Software Engineer role. Primary responsibilities for the role include working with technology peers and business partners to solve business problems and providing support to ensure the availability of our products are met. Develop high quality code Maintain existing software solutions by fixing bugs and optimizing performance Provide technical support to operations or other development teams by troubleshooting, debugging and solving critical issues in the production environment in a timely manner to minimize user and revenue impact. Work closely with our business partners and stakeholders to identify requirements and priority of new enhancements and features and ensure that the stakeholders needs are being met. Improve system reliability by implementing automated testing and deployment strategies Design microservices architecture for complex applications Participate in design discussions with other engineers Continuously improve your knowledge of programming languages and technologies Lead small projects or tasks within a larger project team Guide junior developers on best practices and coding standards About you Bachelor's degree in computer science, engineering, information technology or equivalent experience Java, Microservices, Spring boot, JavaScript with AWS & Python 6+ years of experience in Java technologies 1+ years of experience in Python 3+ years of experience in developing Spring boot based microservices 2+ years of experience in frontend technologies such as JavaScript 3+ years of background in software development using AWS capabilities (EC2, Lambda, IAM, RDS, CloudFormation) Broad experience in enterprise-class system design and development including use of the following technologies: Java, Oracle, SQL, Messaging technologies experience of working across geographical sites experience with CI/CD Pipelines and Github actions Demonstrated understanding of Linux operating system Excellent interpersonal, verbal, and written communication skills

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant. The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across TR. At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Software Engineer with a passion for engineering cloud-based data platform systems. Join our dynamic team as a Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will develop and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems. In this opportunity as the Software Engineer, you will: Develop data processing applications and frameworks on cloud-based infrastructure in partnership with Data Analysts and Architects with guidance from Lead Software Engineer. Innovate with new approaches to meet data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and AWS frameworks, documentation, and usability by stakeholders. Contribute to improving the customer experience. Participate in code reviews to maintain a high-quality codebase Collaborate with cross-functional teams to define, design, and ship new features Work closely with product owners, designers, and other developers to understand requirements and deliver solutions. Effectively communicate and liaise across the data platform & management teams Stay updated on emerging trends and technologies in cloud computing About You You're a fit for the role of Software Engineer, if you meet all or most of these criteria: Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations. Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability. Proficient in Python programming language. Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Good knowledge in Consuming and building APIs Business Intelligence tools like PowerBI Fluency in querying languages such as SQL Solid understanding in Software development practices such as version control via Git, CI/CD and Release management Agile development cadence Good critical thinking, communication, documentation, troubleshooting and collaborative skills.

About the Role: Grade Level (for internal use): 10 The Role: Cloud DevOps Engineer The Impact: This role is crucial to the business as it directly contributes to the development and maintenance of cloud-based DevOps solutions on the AWS platform. Whats in it for you: Drive Innovation : Join a dynamic and forward-thinking organization at the forefront of the automotive industry. Contribute to shaping our cloud infrastructure and drive innovation in cloud-based solutions on the AWS platform. Technical Growth : Gain valuable experience and enhance your skills by working with a team of talented cloud engineers. Take on challenging projects and collaborate with cross-functional teams to define and implement cloud infrastructure strategies. Impactful Solutions : Contribute to the development of solutions that directly impact the scalability, reliability, and security of our cloud infrastructure. Play a key role in delivering high-quality products and services to our clients. We are seeking a highly skilled and driven Cloud DevOps Engineer to join our team. Candidate should have experience with developing and deploying native cloud-based solutions, possess a passion for container-based technologies, immutable infrastructure, and continuous delivery practices in deploying global software. Responsibilities: Deploy scalable, highly available, secure, and fault tolerant systems on AWS for the development and test lifecycle of AWS Cloud Native solutions Configure and manage AWS environment for usage with web applications Engage with development teams to document and implement best practice (low maintenance) cloud-native solutions for new products Focus on building Dockerized application components and integrating with AWS ECS Contribute to application design and architecture, especially as it relates to AWS services Manage AWS security groups Collaborate closely with the Technical Architects by providing input into the overall solution architecture Implement DevOps technologies and processes i.e., containerization, CI/CD, infrastructure as code, metrics, monitoring etc. Experience of networks, security, load balancers, DNS and other infrastructure components and their application to cloud (AWS) environments Passion for solving challenging issues Promote cooperation and commitment within a team to achieve common goals What you will need: Understanding of networking, infrastructure, and applications from a DevOps perspective Infrastructure as code ( IaC ) using Terraform and CloudFormation Deep knowledge of AWS especially with services like ECS/Fargate, ECR, S3/CloudFront, Load Balancing, Lambda, VPC, Route 53, RDS, CloudWatch, EC2 and AWS Security Center Experience managing AWS security groups Experience building scalable infrastructure in AWS Experience with one or more AWS SDKs and/or CLI Experience in Automation, CI/CD pipelines, DevOps principles Experience with Docker containers Experience with operational tools and ability to apply best practices for infrastructure and software deployment Software design fundamentals in data structures, algorithm design and performance analysis Experience working in an Agile Development environment Strong written and verbal communication and presentation skills Education and Experience: Bachelor's degree in Computer Science, Information Systems, Information Technology, or a similar major or CertifiedDevelopment Program 2-3 years of experience managing AWS application environment and deployments 5+ years of experience working in a development organization

Role: Python Developer Experience: 6+ Years Location: Bangalore Work Mode: Hybrid Detail JD : 7 + Y of Experience as Python Development Experience in AWS Services (mainly Lambda, DynamoDB) Experience in API Development Experience in SQL, OOPS concepts Mandatory Skills: Python Development, AWS Services (mainly Lambda, DynamoDB), API Development, OOPS.

Job Overview: We are seeking an enthusiastic and highly motivated Associate Software Engineer to join our team, working on a modern data platform at massive scale. This position will focus on database management, SQL query optimization, and maintenance tasks using AWS technologies, particularly AWS Aurora RDS, and contributing to the overall health and performance of our cloud-based data infrastructure. You will be an integral part of our growing team, helping to ensure high availability, scalability, and performance of our databases while working on cutting-edge technologies in a fast-paced, dynamic environment. Key Responsibilities: Database Management & Maintenance : Manage, monitor, and optimize AWS Aurora RDS databases. Perform routine maintenance tasks such as backups, patching, and upgrades. Ensure high availability, fault tolerance, and performance of databases in production environments. SQL Development & Optimization : Write, optimize, and troubleshoot SQL queries for performance and efficiency. Work on database schema design, indexing strategies, and data migration. Perform query tuning and optimization to enhance database performance. Database Administration (DBA) Activities : Assist in database provisioning, configuration, and monitoring on AWS Aurora RDS. Handle user access management, security, and compliance tasks. Assist in database health monitoring, alerting, and disaster recovery planning. AWS Cloud Technologies : Leverage AWS services, including Aurora, RDS, S3, Lambda, and others to support a robust cloud infrastructure. Participate in cloud-based data infrastructure management and scaling. Assist in implementing cost optimization strategies for database operations on AWS. Collaboration & Continuous Improvement : Work closely with cross-functional teams, including software engineers, data engineers, and operations, to ensure efficient database usage and high-quality code. Contribute to database-related best practices and automation initiatives. Participate in on-call rotations for database support, as needed. Modern Data Platform Support : Work with large-scale, distributed data systems and support the continuous evolution of our data platform. Support data integration, ETL pipelines, and data processing workflows. Qualifications: Education : Bachelors degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Technical Skills : Proficiency in SQL, with a strong understanding of database design, normalization, and optimization. Experience with AWS cloud services, particularly AWS Aurora RDS . Basic knowledge of database administration tasks (e.g., backups, replication, patching, performance tuning). Familiarity with AWS cloud infrastructure and services such as EC2 , S3 , Lambda , CloudWatch , IAM , and VPC . Experience with modern data platforms, distributed systems, and high-volume databases is a plus. Experience : 2 - 3 years of experience working with relational databases (preferably AWS Aurora RDS or MySQL, PostgreSQL). Familiarity with database monitoring tools and techniques. Hands-on experience with version control tools (e.g., Git) and CI/CD pipelines is a plus. Problem Solving & Analytical Skills : Strong troubleshooting skills, especially related to databases and performance bottlenecks. Ability to analyze complex issues and come up with solutions in a timely manner. Soft Skills : Strong written and verbal communication skills. Ability to work independently and as part of a team. Strong attention to detail and a commitment to high-quality work. Nice to Have : Experience with NoSQL databases (e.g.,ElasticSearch, MongoDB) or big data technologies (e.g., Apache Kafka, Hadoop, Spark). Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation . Experience with containerization and Kubernetes for deploying database services. Why Join Us? Innovative Projects : Youll work on cutting-edge technology that powers large-scale data platforms and cloud-based services. Career Growth : We provide ample opportunities for skill development, mentorship, and career advancement. Collaborative Environment : Join a supportive team that fosters knowledge sharing, learning, and growth. Impact : Your work will directly contribute to the scalability and performance of our data infrastructure.