922 Aws Lambda Jobs - Page 14

Job Role : React Native / Mobile application developer Key Responsibilities : 1: Responsible for translating designs wireframes into high quality code 2: Ability to work creatively and analytically in a problem-solving 3: Ability to operate independently and make decisions with little direct supervision 4: Great attention to code quality & coding standards 5: Good grasp of architectural principles and patterns Technical Experience : Proficiency in one or more front-end development technologies including iOS, React Native. Proficiency in backend development using AWS stack including Lambda, EC2, Elasticache, S3, Redshift, Kinesis, RDS, DynamoDB, Glacier, ELB, Route53, API Gateway, CloudWatch CloudFormation. Strong core JavaScript, TypeScript, JSX and CSS, HTML 5+ years of JavaScript development experience Minimum of 5 - 8 years of experience with React Native and Strong in React-Native UI framework Experience in mobile application development Good hold on React JS Concepts Strong in React Native design patterns , Redux and Context API with Hooks Experience with Unit Testing frameworks such as Jest and UI testing frameworks like Jest, Enzyme etc Professional Attributes : 1: Good verbal written communication skills to connect with customers at varying levels of the organization Strong active listening, multitasking, interpersonal and organizational skills 2: Logical problem-solving skills and identify solutions based on written procedures, guidelines and process Key Skills: React Native, ReactJS, JavaScript, CSS, HTML, AJAX, jQuery, XML, AWS

Design and optimize scalable data pipelines using Python, Scala, and SQL. Work with AWS services, Redshift, Terraform, Docker, and Jenkins. Implement CI/CD, manage infrastructure as code, and ensure efficient data flow across systems.

Role & responsibilities 5+ Years hands-on as a Java Developer with a focus on Spring MVC, Hiberante and Spring Boot Microservices. • Strong understanding of Java SOLID design principles. • Strong understanding of Java Low level and High level design patterns such as Builder pattern, Factory pattern, Visitor pattern etc. • Experience in developing Domain Driven Design patterns including Value Objects, Entities, and Domain Services. • Strong understanding of Java, Spring MVC, Spring Boot best practices, including exception/error handling best practices. • Experience in Java 8+ features, especially Lambda and Functional Programming • Experience in Asynchronous programming in Java with completablefuture. • Experience with database systems such as MySQL, Oracle. • Experience with Spring data JPA with bidirectional OneToMany, ManyToMany relationships. • Familiarity with cloud platforms (e.g., AWS, Azure, or GCP). • Knowledge of microservices architecture and containerization (Docker, Kubernetes) is desirable. • Experience in RESTful APIs and experience in building and consuming them. • Proficient in building and managing microservices using the DAPR runtime to ensure scalable, resilient, and secure applications. • Good knowledge and experience in using J2EE/Jakarta EE frameworks and technologies such as Enterprise JavaBeans (EJB)/CDI, EJB Lites, Java Server Pages (JSP)/ Jakarta Faces, Servlets, Java Message Service (JMS), Java Naming and Directory Interface (JNDI), and Java Database Connectivity (JDBC) • Experience with both relational (such as SQL Server, PostgreSQL) and NoSQL databases (such as Cosmos DB. Dynamo DB) • Experience in Spring Security with JWT and OAuth2 etc. • Experience in writing effective Unit Test cases (Junit5 etc) with code coverage. • Experience in Spring Boot Documentation with OpenAPI 3 specification. • Working with different pipeline jobs like SonaQube, TwistLock, Integration tests etc.. • Experience with version control systems (Git) and collaboration tools. • Excellent problem-solving and debugging skills. • Ability to work in an agile development environment. • Strong knowledge on creation of data models based on the provided requirements. • Strong knowledge of dependency management tools such as Maven/Gradle. • Strong knowledge on Clean Architecture and Clean code practices • Good troubleshooting and problem-solving skills with excellent understanding of system development methodologies, techniques, and tools. • Excellent written and verbal communication skills. • One team approach and team collaboration. • Positive mindset to learn new technologies.

The ideal candidate for this position should have advanced proficiency in Python, with a solid understanding of inheritance and classes. Additionally, the candidate should be well-versed in EMR, Athena, Redshift, AWS Glue, IAM roles, CloudFormation (CFT is optional), Apache Airflow, Git, SQL, Py-Spark, Open Metadata, and Data Lakehouse. Experience with metadata management is highly desirable, particularly with AWS Services such as S3. The candidate should possess the following key skills: - Creation of ETL Pipelines - Deploying code in EMR - Querying in Athena - Creating Airflow Dags for scheduling ETL pipelines - Knowledge of AWS Lambda and ability to create Lambda functions This role is for an individual contributor, and as such, the candidate is expected to autonomously manage client communication and proactively resolve technical issues without external assistance.,

Your role as a Supervisor at Koch Global Services India (KGSI) will involve being part of a global team dedicated to creating new solutions and enhancing existing ones for Koch Industries. With over 120,000 employees worldwide, Koch Industries is a privately held organization engaged in manufacturing, trading, and investments. KGSI is being established in India to expand its IT operations and serve as an innovation hub within the IT function. This position offers the chance to join at the inception of KGSI and play a pivotal role in its development over the coming years. You will collaborate closely with international colleagues, providing valuable global exposure to the team. In this role, you will lead a team responsible for developing innovative solutions for KGS and its customers. You will oversee the performance and growth of data engineers at KGSI, ensuring the delivery of application solutions. Collaboration with global counterparts will be essential for enterprise-wide delivery success. Your responsibilities will include mentoring team members, providing feedback, and coaching them for their professional growth. Additionally, you will focus on understanding individual career aspirations, addressing challenges, and facilitating relevant training opportunities. Ensuring compensation aligns with Koch's philosophy and maintaining effective communication with HR will be key aspects of your role. Timely delivery of projects is crucial, and you will be responsible for identifying and addressing delays proactively. By fostering knowledge sharing and best practices within the team, you will contribute to the overall success of KGSI. Staying updated on market trends, talent acquisition, and talent retention strategies will be vital for your role. Your ability to lead by example, communicate effectively, and solve problems collaboratively will be essential in driving team success. To qualify for this role, you should hold a Bachelor's or Master's degree in computer science or information technology with a minimum of 12 years of IT experience, including leadership roles in integration teams. A solid background in data engineering, AWS cloud migration, and team management is required. Strong communication skills, customer focus, and a proactive mindset towards innovation are essential for success in this position. Experience with AWS Lambda, Glue, ETL projects, Python, SQL, and BI tools will be advantageous. Familiarity with manufacturing business processes and exposure to Scrum Master practices would be considered a plus. Join Koch Global Services (KGS) to be part of a dynamic team that creates solutions to support various business functions worldwide. With a global presence in India, Mexico, Poland, and the United States, KGS empowers employees to make a significant impact on a global scale.,

You are a highly skilled Backend Developer with 5 to 15 years of experience, specializing in Node.js and Python. You will be responsible for designing, developing, and maintaining scalable applications using Node.js and Python. Your expertise in Generative AI (Gen AI) and Natural Language Processing (NLP) will be beneficial for implementing and optimizing NLP models and Gen AI solutions. Experience with MongoDB, AWS Lambda, and cloud-based deployments is required for this role. Your key responsibilities include developing RESTful APIs and microservices, working with MongoDB for database management, and deploying applications in AWS Lambda and other AWS services. You will collaborate with cross-functional teams to integrate AI-driven solutions into the platform, troubleshoot and debug applications to ensure high availability and reliability. To excel in this role, you must have 5-15 years of hands-on experience in Backend Development using Node.js and strong proficiency in Python, particularly in AI/ML frameworks such as TensorFlow and PyTorch. Experience in NLP or Generative AI models, proficiency in MongoDB, and hands-on experience with AWS Lambda and serverless architectures are essential. Your knowledge of REST APIs, GraphQL, and microservices is crucial, and experience with Docker, Kubernetes, and CI/CD pipelines is a plus. Your ability to work in an Agile environment and collaborate effectively with remote teams will be highly valued.,

You should possess primary skills in Java, AWS (lambda), and Rest API with an experience range of 5 to 8 years. The job is located in Hyderabad, Chennai, Mumbai, Pune, Bangalore, Noida, or Kolkata. The interview process includes a first virtual round followed by a second face-to-face round. The work mode is hybrid, with three days of working from the client location. The notice period for this position is up to 30 days. If you are interested in this job opportunity, please send your updated resume to meeta.padaya@ltimindtree.com and include the following details: - Total Experience: - Relevant Experience in Java: - AWS PAAS Services: - Angular: - Availability for the 2nd face-to-face round (1st round will be Virtual): - Current Company: - Current CTC: - Expected CTC: - Notice Period (If serving, kindly mention Last Working Day): - Current / Preferred Location:,

Job Title: Data Engineer Location : Noida / Hyderabad (Hybrid 3 days/week) Shift Timings : 2:30 PM to 10:30 PM IST Start Date : Immediate / July 2025 Experience : 8+ years Tech Stack : AWS, Python, PySpark, EMR, Athena, Glue, Lambda, EC2, S3, Git, Data Warehousing, Parquet, Avro, ORC Job Description : We're hiring experienced Data Engineers with a strong background in building scalable data pipelines using AWS and PySpark. You'll work with distributed systems, big data tools, and analytics services to deliver solutions for high-volume data processing. Key Responsibilities : Build and optimize PySpark applications Work with AWS services: EMR, Glue, Lambda, Athena, etc. Implement data modeling and warehousing concepts Collaborate with teams using Git and CI/CD pipelines Utilize formats like Parquet, Avro with compression techniques Apply only if you can join within 2 weeks or are an immediate joiner. To Apply : Send your resume to vijay.s@xebia.com with the following details: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Location (Noida/Hyderabad) Notice Period / Last Working Day Primary Skills LinkedIn Profile

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude

Hiring an AWS Data Engineer for a 6-month hybrid contractual role based in Bellandur, Bengaluru. The ideal candidate will have 7+ years of experience in data engineering, with strong expertise in AWS services (S3, EC2, RDS, Lambda, EKS), PostgreSQL, Redis, Apache Iceberg, and Graph/Vector Databases. Proficiency in Python or Golang is essential. Responsibilities include designing and optimizing data pipelines on AWS, managing structured and in-memory data, implementing advanced analytics with vector/graph databases, and collaborating with cross-functional teams. Prior experience with CI/CD and containerization (Docker/Kubernetes) is a plus.

Job Description We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Spark , and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. Youll work closely with cross-functional teams to drive data reliability, quality, and performance. Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Develop distributed data processing solutions using Apache Spark or PySpark . Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. Ensure data quality, governance, security, and compliance across pipelines and data stores. Monitor, troubleshoot, and improve the performance of data systems and pipelines. Participate in code reviews and help establish engineering best practices. Mentor junior data engineers and support their technical development. Requirements Bachelor's or master's degree in computer science, Engineering, or a related field. 5+ years of hands-on experience in data engineering , with at least 2 years working with AWS Databricks . Strong programming skills in Python for data processing and automation. Advanced proficiency in SQL for querying and transforming large datasets. Deep experience with Apache Spark/PySpark in a distributed computing environment. Solid understanding of data modelling, warehousing, and performance optimization techniques. Proficiency with AWS services such as Glue , S3 , Lambda and EMR . Experience with version control Git or Code commit Experience in any workflow orchestration like Airflow, AWS Step funtions is a plus

We are looking for an experienced Project Manager with a strong foundation in software development who can effectively engage with clients and lead project teams. The ideal candidate will have hands-on experience in managing complex software projects, specifically in IoT and mobile app integration. This role involves overseeing the development of a baby monitoring app and its integration with camera systems using AWS IoT Core and AWS Kinesis Video Streams (KVS). The candidate will handle the complete project lifecycle, ensuring delivery within budget, scope, and time. Responsibilities include project governance, defining SLAs, writing Statements of Work (SoW), and converting business requirements into actionable use cases and user stories. Additionally, the Project Manager will manage and mentor the project team, foster a collaborative environment, and ensure adherence to Agile methodologies. Location - Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Python Developers 7+ Yrs Experience Location: Bangalore / Pune Work Mode: Hybrid Open Roles: 4 We are hiring Senior Python Developers for one of our top-tier MNC client! If you’re passionate about building scalable applications in a cloud-native environment and thrive in agile teams—this is for you! Required Experience: 7+ years in Application Development using Python, AWS Lambda, Microservices Architecture Strong in Advanced Python Programming, OOPs, Design Patterns Experience with PostgreSQL and ORM tools (preferably SQLAlchemy) Familiarity with GraphQL Experience working in Scrum teams, with GIT & branching strategies

Required Skills Experience5 to 8 years Shift Timings :EST Time Zome Location Hyderabad / Proven experience in a DevOps, SRE, or Systems Engineering role with a focus on automation. Strong proficiency with Ansible, including creating complex playbooks and custom roles. Direct experience with Red Hat Ansible Automation Platform (AAP) is essential. Hands-on experience with Terraform** for managing infrastructure as code, including the development of reusable Terraform modules. In-depth knowledge of VMware vSphere administration and automation (e.g., using PowerCLI or API). Experience managing and automating AWS cloud services (e.g., EC2, S3, VPC, IAM, AWS Lambda). Solid experience in Windows Server administration and management. Proficiency in Python scripting for automation and integration. Experience with the ELK Stack for centralized logging and monitoring. Familiarity with enterprise storage solutions, specifically Pure Storage. Willingness to participate in an on-call rotation and a strong sense of ownership for production systems. Excellent problem-solving, communication, and collaboration skills.

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

We are seeking an experienced AWS Platform Engineer Developer to architect and manage secure, scalable AWS environments in compliance with industry regulations such as GDPR, FCA, and PRA. The role involves deploying and maintaining EKS clusters, Istio service mesh, and Kong API Gateway, implementing robust security measures using Dynatrace, Fortigate, and AWS-native security services (Security Hub, GuardDuty, WAF), and automating infrastructure provisioning with Terraform and CloudFormation. Responsibilities also include enforcing Privileged Access Management (PAM) policies, integrating observability tools (Dynatrace, Grafana, Prometheus), and collaborating with teams on container orchestration using Kubernetes and Docker. Experience in serverless technologies like AWS Lambda and API Gateway, as well as container security scanning tools such as Trivy and Aqua Security, is preferred.

Design, develop, and implement data solutions using AWS Data Stack components such as Glue and Redshift.Write and optimize advanced SQL queries for data extraction, transformation, and analysis.Develop data processing workflows and ETL processes using Python and PySpark.

This is a full-time position requiring a thoughtful, adaptive individual with a growth mindset. The ideal candidate will have 5-8 years of experience in backend software development, working in dynamic, fast-paced environments. Proficiency with Ruby (3+ years) or a similar dynamic scripting language. Strong experience with Rails (3+ years) or a similar web framework. Familiarity with templating frameworks (e.g., Haml, ERB). Experience with TDD/BDD frameworks like RSpec and Cucumber. Solid knowledge of MySQL and relational database design. Skills : - GraphQL,AWS Lambdas,Docker and/or Kubernetes,Ruby,Rails,Haml, ERB,RSpec and Cucumber Location : -Remote

Job Description: Full Stack QA Engineer (with Salesforce & AWS Ecosystem Experience) Location: Hyderabad Type: Full-Time / Contract Experience: 36 years About the Role We are hiring a Full Stack QA Engineer with proven expertise in both manual and automated testing of web applications built using MERN Stack and integrated with Salesforce and AWS services. Youll be responsible for ensuring the highest levels of application reliability, functionality, and user experience. Key Responsibilities Test full-stack web applications, REST APIs, and Salesforce-integrated workflows. Write and execute test cases for React frontends, Node/Express APIs, and MongoDB data models. Build and maintain automation frameworks using tools like Selenium Perform API testing using Postman, Swagger, or similar tools. Validate Salesforce flows, triggers, and external app interactions (e.g., record sync, webhooks). Test AWS-hosted services and perform smoke/load testing for EC2, S3, or Lambda-based applications. Identify, log, and track bugs in tools like JIRA or AWS DevOps. Required Skills 2–3 years of testing experience in MERN-based environments. Strong knowledge of Salesforce data objects, API testing, and process validation. Hands-on experience with test automation using Selenium/Cypress. Proficient in Postman, JSON, JWT tokens, and OAuth2 for secure API testing. Comfortable testing applications hosted on AWS infrastructure. Good to Have Familiarity with CI/CD pipelines for QA automation. Experience with performance testing tools like JMeter or Artillery. Ability to write basic scripts in Node.js/Python for test scripting. Knowledge of Chrome DevTools for front-end and network debugging. Knowledge on Playwright or Cypress Perks Opportunity to work with full-stack engineering and Salesforce teams. High-growth environment with learning across DevOps, QA, and product management.

Overview Annalect is currently seeking a back-end developer to join our Technology team. In this role, you will help grow our microservices and API layer which sit atop our Big Data infrastructure. We are passionate about building distributed back-end systems in a modular and reusable way. We're looking for people who have a shared passion for data and desire to build cool, maintainable and high-quality applications to use this data. In this role you will participate in shaping our technical architecture, design and development of software products, collaborate with back-end developers from other tracks, research and evaluation of new technical solutions, and helping to elevate the skills of more junior developers. Responsibilities Designing, building, testing and deploying scalable, reusable and maintainable applications that handle large amounts of data Growing our API layer: author, update, and debug API microservices; contribute to API design and architecture Perform code reviews and provide leadership and guidance to junior developers Ability to learn and teach new technologies Qualifications 5+ years of solid coding experience working in Python Demonstrated proficiency with RESTful APIs (data caching, JWT auth, API load testing, RAML), and production use of a python API framework Fluency with Linux/Unix Systems and in bash Excellent grasp of microservices, containers (Docker), container orchestration (Kubernetes), serverless computing (AWS Lambda) and distributed/scalable systems Proven history of mentoring junior developers to improve overall team effectiveness Passion for writing good documentation and creating architecture diagrams Experience processing and analyzing large data sets. Extensive history working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery) Rigorous approach to testing (unit testing, functional testing, integration testing) Understanding of critical API security best practices Ability to profile, identify, debug, and fix performance bottlenecks in application and database layers with modern tooling Strong proficiency in conducting PR reviews and helping to maintain a high-quality code base Knowledge of git, with understanding of branching, how to manage conflicts, and pull requests

We are looking for an experienced DevOps Engineer (Level 2 3) to design, automate, and optimize cloud infrastructure. You will play a key role in CI/CD automation, cloud management, observability, and security, ensuring scalable and reliable systems. Key Responsibilities: Design and manage AWS environments using Terraform/Ansible. Build and optimize deployment pipelines (Jenkins, ArgoCD, AWS CodePipeline). Deploy and maintain EKS, ECS clusters. Implement OpenTelemetry, Prometheus, Grafana for logs, metrics, and tracing. Manage and scale cloud-native microservices efficiently. Required Skills: Proven experience in DevOps, system administration, or software development. Strong knowledge of AWS. Programming languages: Python, Go, Bash, are good to have Experience with IAC tools like Terraform, Ansible Solid understanding of CI/CD tools (Jenkins, ArgoCD , AWS CodePipeline). Experience in containers and orchestration tools like Kubernetes (EKS) Understanding of OpenTelemetry observability stack (logs, metrics, traces Good to have: Experience with container orchestration platforms (e.g., EKS, ECS). Familiarity with serverless architecture and tools (e.g., AWS Lambda). Experience using monitoring tools like DataDog/ NewRelic, CloudWatch, Prometheus/Grafana Experience with managing more than 20+ cloud-native microservices. Previous experience of working in a startup Education Experience: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Years of relevant experience in DevOps or a similar role.

Core Responsibilities: The candidate is expected to lead one of the key business areas end to end. This is pure hands-on role but he/she may need to mentor junior person in the team. Excellent team management skills and must hols experience in leading the team in the current organization. Requirement gathering with business and get this prioritized in the sprint cycle. Come up with Project Architecture design and get the same approved from Tech Review committee. Ensure quality and timely delivery. Preference and Experience: Very Strong fundamental of OOPs programming Very Strong at Java fundamentals, Multithreading, Streams Good understanding of Data Structure Good knowledge of any distributed caching /computing framework/tools Good at SQL query/optimization. AWS Lambda (Serverless), Redis, spring boot, NoSQL database, UI Technologies, JMS/SQS, AWS Cloud, NodeJS, python are Good to have Well versed with latest technology stack on server-side programming Academic qualifications: Must be a Technical Graduate B. Tech / M. Tech Tier 1/2 colleges.

Job Type: Full-time, Permanent Location: On-site Joining: We welcome candidates who can join immediately or within a short notice period (1-2 weeks preferred). Sense7Ai is seeking a seasoned Senior Backend Engineer to develop and maintain robust backend systems. The ideal candidate will have extensive experience in Python , AWS , and database management, both SQL and NoSQL . You'll be tasked with both strategic leadership and hands-on development. Your role will be pivotal in translating ideas into tangible digital solutions, optimizing the agile journey, and ensuring excellence within an AWS-driven cloud ecosystem. Offshore Project Dynamics: Engage directly with an offshore client, requiring flexible working hours to align with based on project demands. Embrace diverse work cultures, ensure synchronized deliverables, and maintain proactive communication to guarantee alignment with the client's vision. Responsibilities: Design and build backend services focusing on high availability, low latency, and scalability. Develop and maintain efficient, reusable, and reliable Python code. Integrate user-facing elements developed by front-end developers with server-side logic. Implement solutions using AWS services, with a strong focus on AWS Lambdas . Optimize application performance and manage costs effectively in the AWS ecosystem. Manage and implement SQL and NoSQL databases, ensuring data integrity and security. Optimize database systems for performance and scalability. Collaborate with other team members and stakeholders. Engage in brainstorming sessions for system architecture and software design. Mentor junior developers and conduct code reviews to ensure high-quality software solutions. Stay up to date with emerging technologies and industry trends. Requirements: Bachelors degree in computer science, Engineering, or related field. Minimum of 4 years of backend development experience, with expertise in Python. Profound knowledge of AWS services, especially AWS Lambdas . Strong experience with SQL and NoSQL databases . Should be comfortable spinning up, managing, monitoring, and reasoning about infrastructure on AWS ; Demonstrated ability to apply advanced programming concepts such as design patterns, multithreading, asynchronous programming, and microservices architecture. Familiarity with DevOps practices and tools (e.g., CI/CD pipelines, containerization with Docker, Kubernetes), and understanding of their role in a smooth and efficient software development lifecycle. Knowledge of security best practices in software development, including secure coding, data protection, and understanding of common security vulnerabilities. Skills in diagnosing and optimizing application performance, with experience in using profiling tools and techniques. Proficiency in writing and maintaining a variety of tests (unit, integration, e2e) and understanding the importance of a quality-first approach to development. Experience working in an Agile development environment, with a strong understanding of Agile principles, practices, and Scrum methodologies. Ability to mentor junior developers, lead technical discussions, and contribute to strategic planning. Excellent interpersonal and communication skills, capable of articulating technical concepts to non-technical stakeholders. Eagerness to learn new technologies and frameworks and adapt to changing technological landscapes. Preferred Experience: 4-6 years' experience crafting large-scale software solutions. Python: 3+ years AWS (Serverless Architecture, Lambda, Dynamo DB): 2+ years Cumulative Industry Experience: 4+ years What's in It for You? Flexibility at its best Recharge with flexible vacation days. Comprehensive health insurance: Covers you, your family, and your parents. Annual Performance bonus. Other Reimburse benefits. * Immediate Joiners preferred * Please share your Updated resume to: hr@sense7ai.com

Job Type: Full-time, Permanent Location: On-site Joining: We welcome candidates who can join immediately or within a short notice period (1-2 weeks preferred). As a Full Stack Engineer at Sense7AI, you will play a key role in developing, and deploying scalable, high-performance applications . Youll work in a predominantly AWS-focused environment , ensuring top-notch code quality and seamless deployment from ideation to production. Your expertise in React, React Native, Python, and AWS will drive business growth through user-centric innovation and robust system architecture. Offshore Project Dynamics: This role involves working with an offshore client , requiring flexibility to align with IST or EST time zones based on project needs. Strong communication, adaptability, and collaboration across time zones are essential. Key Responsibilities: End-to-End Development: Design, implement, and deploy mobile and web applications with a focus on performance and scalability. Code Quality & Compliance: Write clean, efficient, and maintainable code , ensuring healthcare industry compliance where applicable. Collaboration & Coordination: Work closely with domain experts, designers, engineers, AWS specialists, and QA teams to develop seamless user experiences. Tech Stack: Utilize React, React Native, TypeScript, Python, DynamoDB , and other modern technologies to build robust applications. Cloud & API Development: Design, integrate, and maintain RESTful APIs while leveraging AWS Serverless (Lambda, DynamoDB) for scalable solutions. Cross-Time Zone Communication: Effectively coordinate with offshore teams via Slack, email, and other collaboration tools. Technical Proficiencies: 4-6 years of experience in developing and deploying large-scale software solutions. Front-End: Strong expertise in React + Redux, JavaScript/TypeScript, React Native (3+ years). Back-End: Proficiency in Python for server-side logic and API development (3+ years). Cloud Technologies: Hands-on experience with AWS (Lambda, DynamoDB, Serverless Architecture) (2+ years). Database Management: Solid understanding of NoSQL databases (DynamoDB, MongoDB, etc.). Testing & Debugging: Strong experience in unit testing, integration testing, and performance optimization. RESTful APIs: Proven experience in designing, developing, and integrating APIs for scalable applications. Preferred Experience: Python: 3+ years React: 3+ years React Native: 2+ years TypeScript: 2+ year JavaScript: 2+ year AWS (Serverless Architecture, Lambda, Dynamo DB): 2+ years * Immediate Joiners preferred * Please share your Updated resume to: hr@sense7ai.com

Work Hours: Partial overlap with US PST Key Responsibilities Rapidly prototype MVPs and innovative ideas within tight timelines. Own end-to-end development and deployment of applications in non-production AWS environments. Collaborate with cross-functional teams to deliver scalable web solutions. Technical Expertise 1. Front-End Development Proficiency in React, AWS S3, and AWS CloudFront. Experience building medium to large websites (1520+ pages). 2. Back-End & Serverless Architecture Strong understanding of microservices architecture. Experience with AWS serverless stack: Lambda (Node.js), Cognito, API Gateway, EventBridge, Step Functions. Familiarity with AWS Aurora MySQL and DynamoDB (preferred but not mandatory). 3. DevOps & CI/CD Proficiency in AWS SAM, CloudFormation or AWS CDK. Experience with AWS CodePipeline or equivalent tools (e.g., GitHub Actions). Requirements Experience & Qualifications 5–10 years of software development experience. Minimum 3 years of hands-on experience with React and AWS technologies. Fast learner with the ability to adapt in a dynamic environment.