370 Lambda Jobs - Page 3

Minimum 6 years of hands-on experience deploying, enhancing, and troubleshooting foundational AWS Services (EC2, S3, RDS, VPC, CloudTrail, CloudFront, Lambda, EKS, ECS, etc.) • 3+ years of experience with serverless technologies, services, and container technologies (Docker, Kubernetes, etc.) o Manage Kubernetes charts using helm. o Managed production application deployments in Kubernetes cluster using KubeCTL. o Expertise in deploying distributed apps with containers (Docker) & orchestration (Kubernetes EKS,). o Experience in infrastructure-as-code tools for provisioning and managing Kubernetes infrastructure. o (Preferred) Certification in container orchestration systems and/or Certified Kubernetes Administrator. o Experience with Log Management and Analytics tools such as Splunk / ELK • 3+ years of experience with writing, debugging, and enhancing Terraform to write infrastructure as code to create scrips for EKS, EC2, S3, and other AWS services. o Expertise with working with Terraform Key features such as Infrastructure as code, execution plans, resource graphs, and change automation. o Implemented cluster services using Kubernetes and docker to manage local deployments in Kubernetes by building self-hosted Kubernetes clusters using Terraform. o Managed provisioning of AWS infrastructure using Terraform. o Develop and maintain infrastructure-as-code solutions using Terraform. • Ability to write scripts in JavaScript, Bash, Python, Typescript, or similar languages. • Able to work independently and as a team to architect and implement new solutions and technologies. • Very strong written and verbal communication skills; the ability to communicate verbally and in writing with all levels of employees and management, capable of successful formal and informal communication, speaks and writes clearly and understandably at the right level. • Ability to identify, evaluate, learn, and POC new technologies for implementation. • Experience in designing and implementing highly resilient AWS solutions.

Job Summary Synechron is seeking a skilled Node.js Developer to design, develop, and maintain scalable, high-performance applications leveraging Node.js and associated technologies. In this role, you will collaborate with cross-functional teams to deliver innovative solutions that meet business needs while ensuring system reliability, security, and efficiency. Your expertise will contribute to the organizations digital transformation goals, supporting seamless product delivery and operational excellence. Software Requirements Required Skills: hands-on coding experience with Node.js and JavaScript professional experience with TypeScript for application development Practical knowledge of databases (SQL and NoSQL) relevant to Node.js applications Experience with performance tuning, debugging, and application monitoring Familiarity with CI/CD pipelines and associated tools for automation and deployment Preferred Skills: Experience with GraphQL API implementation Knowledge of API gateways such as 3Scale or similar Exposure to WebSocket, Pushpin, or same-message queue systems like Kafka, AWS SQS, or Azure Service Bus Cloud deployment experience, particularly with AWS or Azure Overall Responsibilities Develop and sustain scalable, efficient, and reliable backend systems using Node.js and related frameworks Design, implement, and optimize RESTful APIs and GraphQL endpoints to facilitate client-server communication Collaborate with teams including project managers, frontend developers, and DevOps to deliver end-to-end solutions Participate in the full software development lifecycle, including planning, coding, testing, deployment, and maintenance Troubleshoot, monitor, and enhance application performance and stability in distributed systems Implement security best practices including token-based authentication (JWT, OAuth) and Single Sign-On (SSO) Manage message queues and event-driven architectures using tools like Kafka, AWS, or Azure services Contribute to CI/CD process setup and continuous improvement initiatives using tools like Jenkins, Git, and Maven Stay updated on emerging technologies, industry best practices, and incorporate them into development activities Technical Skills (By Category) Programming Languages (Essential): Node.js and JavaScript (required) TypeScript (required for application development) Frameworks & Libraries (Essential): REST API development with Node.js GraphQL implementation and integrations Express.js or comparable web frameworks Data Management & Cloud Technologies (Preferred): Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB) Cloud platforms: AWS (ECS, S3, Lambda), Azure (Container Apps, Functions) DevOps & CI/CD (Essential): Automated build and deployment pipelines with Jenkins, Git, Maven, Harness, or TeamCity Containerization: Docker, Kubernetes (preferred) Infrastructure as Code tools (optional but advantageous) Messaging & Queue Management (Preferred): Kafka, AWS SQS, Azure Service Bus, Pushpin or similar solutions Security & Authentication (Essential): Token-based authentication management (JWT, OAuth2) SSO integrations (preferred) Experience Requirements Minimum of 5 years professional application development experience in Node.js and JavaScript At least 3 years of direct experience using TypeScript in enterprise settings Proven track record in performance tuning, debugging, and application monitoring Experience working in distributed architecture environments, especially with cloud services and container orchestration platforms Demonstrated ability to work within Agile teams and contribute effectively to sprint cycles Day-to-Day Activities Write, review, and maintain high-quality, scalable backend code using Node.js and TypeScript Develop and optimize RESTful APIs and GraphQL endpoints according to project specifications Collaborate daily with cross-disciplinary teams during stand-ups, planning, and review sessions Troubleshoot application issues, conduct root cause analysis, and apply fixes proactively Build, test, and deploy containerized applications using Docker and Kubernetes in cloud environments Monitor system performance, implement improvements, and ensure system security and compliance standards Participate in code reviews, team knowledge sharing, and best practices implementation Maintain documentation for system architecture, APIs, deployment processes, and troubleshooting procedures Qualifications Bachelors degree in Computer Science, Information Technology, or related field, or equivalent industry experience Certifications in cloud platforms (AWS, Azure), DevOps, or API design are a plus Strong understanding of scalable, distributed system design and enterprise application architecture Professional Competencies Strong analytical and problem-solving capabilities, with a focus on performance and security Effective communicator with the ability to articulate complex technical concepts Leadership qualities with experience in guiding development teams and collaborative problem-solving Self-motivated with a proactive approach to learning and professional growth Adaptability in rapidly evolving technological environments Excellent time management skills, prioritizing tasks to meet project deadlines

Warm Greetings from SP Staffing!! Role :Cloud Developer Experience Required :6 to 8 yrs Work Location :Bangalore Required Skills, Node JS AWS Python Lambda/Airflow Interested candidates can send resumes to nandhini.spstaffing@gmail.com

What Were Looking For: As a Backend Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment Our culture values continuous learning, team autonomy, and a DevOps mindset Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations With a heavy reliance on Azure services, Elasticsearch, Lambda, Terraform, and other technologies, we seek individuals with experience in search engines, big data analytics, infrastructure, systems engineering, and distributed systems. In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies If you're passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey. What You'll Do: Analyze use cases, plan, and estimate work efforts. Design, develop, test, and maintain high-quality software components. Take full ownership of developed services within the team. Create robust, scalable, and maintainable software solutions using Java and related technologies. Collaborate closely with cross-functional teams to deliver software solutions that meet business requirements. Design efficient algorithms, data structures, and multithreaded applications for optimal performance. Participate actively in all phases of the software development lifecycle. Research and evaluate new technologies to enhance development processes and product capabilities. Troubleshoot and debug software issues, providing timely resolutions. Contribute to code reviews, architectural discussions, and technical documentation. What You'll Bring: Bachelor's or masters degree in Computer Science or a related field Minimum of 5 years of hands-on experience in software development using Node, Typescript, Azure Cloud. Proficiency in Functional Programming, encompassing data structures, algorithms, and multithreading. Proficiency in TypeScript features such as type definitions, decorators, generics, and async/await for building robust and scalable applications. Strong understanding of performance optimization, memory management, and CPU utilization. Experience with testing frameworks, particularly Jest, for ensuring code quality. Familiarity with dependency management tools. Familiarity with designing and maintaining microservices in a distributed architecture. Deployment expertise in cloud environments. Design and implementation proficiency in microservices architecture, including REST and Azure Function Apps. Knowledgeable about Azure, Kubernetes, and Docker for containerization and orchestration. Curiosity and a passion for learning new technologies and concepts. Enjoyment in collaborative problem-solving endeavours. Exceptional written and verbal communication skills in English. Openness to a hybrid work schedule, requiring one day per week in the office. Ability to collaborate with frontend developers, designers, and product managers to align technical solutions with business goals.

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 6-9 yrs Location: Bangalore Skill: Cloud Developer AWS Lambda/S3 (For Storage) Backend NodeJS Orchestration Tools StepFunctions OR Apache Airflow, Events Database - SQL Scripting Python Good if the resource has. Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Rel Exp in AWS/Lambda: Rel Exp in Python: Rel Exp in Node JS: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for virtual interview on weekdays between 10 AM- 4 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year:

Key points: Should have 2 years+ frontend development experience in building web applications Should be proficient in React, Next.js, Rest APIs, Tailwind css, Typescript Prior experience of dealing with serverless API (Lambda, Edge) is a bonus Experience of analysing performance through frontend monitoring platform Prior work with LLM/ML applications is a bonus. Mandatory Key Skills frontend development,Typescript*,Rest APIs*,Next.js*,Tailwind CSS*,LLM,Lambda,Machine Learning,React*,Serverless API

Job Position - Lead AWS Infrastructure Devops Experience - 9 - 13 Years Location - Pune/Mumbai/Bangalore Notice Period - Only Immediate Joiner Can Apply ( Serving Notice Period Candidate max 15 June 2025 ) PAN Number is Mandatory - we have portal we need to upload your profile mandatory skills - AWS infrastructure, DataOps, Amazon Redshift and Databricks ,AWS Data Services: Glue, RDS, S3, EBS, EFS, Glacier, Lambda, Step Functions, API Gateway, Airflow , AWS Services Interested candidate please share your CV's on rutuja.s@bwbsol.com / 9850368787

**Position Overview:** We are seeking an experienced AWS Cloud Engineer with a robust background in Site Reliability Engineering (SRE). The ideal candidate will have 3 to 6 years of hands-on experience managing and optimizing AWS cloud environments with a strong focus on performance, reliability, scalability, and cost efficiency. **Key Responsibilities:** * Deploy, manage, and maintain AWS infrastructure, including EC2, ECS Fargate, EKS, RDS Aurora, VPC, Glue, Lambda, S3, CloudWatch, CloudTrail, API Gateway (REST), Cognito, Elasticsearch, ElastiCache, and Athena. * Implement and manage Kubernetes (K8s) clusters, ensuring high availability, security, and optimal performance. * Create, optimize, and manage containerized applications using Docker. * Develop and manage CI/CD pipelines using AWS native services and YAML configurations. * Proactively identify cost-saving opportunities and apply AWS cost optimization techniques. * Set up secure access and permissions using IAM roles and policies. * Install, configure, and maintain application environments including: * Python-based frameworks: Django, Flask, FastAPI * PHP frameworks: CodeIgniter 4 (CI4), Laravel * Node.js applications * Install and integrate AWS SDKs into application environments for seamless service interaction. * Automate infrastructure provisioning, monitoring, and remediation using scripting and Infrastructure as Code (IaC). * Monitor, log, and alert on infrastructure and application performance using CloudWatch and other observability tools. * Manage and configure SSL certificates with ACM and load balancing using ELB. * Conduct advanced troubleshooting and root-cause analysis to ensure system stability and resilience. **Technical Skills:** * Strong experience with AWS services: EC2, ECS, EKS, Lambda, RDS Aurora, S3, VPC, Glue, API Gateway, Cognito, IAM, CloudWatch, CloudTrail, Athena, ACM, ELB, ElastiCache, and Elasticsearch. * Proficiency in container orchestration and microservices using Docker and Kubernetes. * Competence in scripting (Shell/Bash), configuration with YAML, and automation tools. * Deep understanding of SRE best practices, SLAs, SLOs, and incident response. * Experience deploying and supporting production-grade applications in Python (Django, Flask, FastAPI), PHP (CI4, Laravel), and Node.js. * Solid grasp of CI/CD workflows using AWS services. * Strong troubleshooting skills and familiarity with logging/monitoring stacks.

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary quality engineering activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps. These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output. This Also Includes Evaluating New Tools, New Techniques, Strategies Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways. Primary Responsibilities Coordinates, supervises and is accountable for the daily activities of business support, technical or production team or unit wrt to quality standards. Impact of work is most often at the team level Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications B.E. (Computer Engineering) or equivalent from reputed engineering colleges 8+ years of relevant software lifecycle experience specifically focusing on Automation Testing 4+ years of hands-on experience of API & UI automation tests 2+ years of working experience in managing quality team Experience with Kubernetes & automated codeable deployments Knowledge on REST and Spring Boot over any Cloud Cassandra/any other No-SQL exposure Exposure to AWS services, Lambda & containerization Sound fundamentals of Core Java. Knowledge of build tools such as Maven/Gradle Technically hands-on and excellent in Design, Coding and Testing nProduct/Project/Program Related Tech Stack: Back End: Java, Spring, Sprint Boot, REST, AWS Middleware: Kafka & its ecosystem, Cassandra/NoSQL Testing: JUnit, Gatling , Cypress, Selenium, Playwright DevOps: Jenkins, GitHub, Docker, Sonar, Fortify Others: JMeter, Groovy Development Methodology/Engineering Practices Agile (SCRUM/KANBAN)

Roles & Responsibilities : • We are looking for a strong Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines . • Integration of data from multiple sources or vendors to provide the holistic insights from data. • You are expected to build and manage Data Lake and Data warehouse solutions, design data models, create ETL processes, implementing data quality mechanisms etc. • Perform EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues. • Should have experience in client interaction oral and written. • Experience in mentoring juniors and providing required guidance to the team. Required Technical Skills • Extensive experience in languages such as Python, Pyspark, SQL (basics and advanced). • Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Data Architecture . • Must be proficient in Redshift, Azure Data Factory, Snowflake etc. • Hands-on experience in cloud services like AWS S3, Glue, Lambda, CloudWatch, Athena etc. • Good to have knowledge in Dataiku, Big Data Technologies and basic knowledge of BI tools like Power BI, Tableau etc will be plus. • Sound knowledge in Data management, data operations, data quality and data governance. • Knowledge of SFDC, Waterfall/ Agile methodology. • Strong knowledge of Pharma domain / life sciences commercial data operations. Qualifications • Bachelors or masters Engineering/ MCA or equivalent degree. • 4-6 years of relevant industry experience as Data Engineer . • Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales, Open Data etc. • High motivation, good work ethic, maturity, self-organized and personal initiative. • Ability to work collaboratively and providing the support to the team. • Excellent written and verbal communication skills. • Strong analytical and problem-solving skills. Location • Chennai, India

JD is below: Design, develop, and deploy generative AI based applications using AWS Bedrock. Proficiency in prompt engineering and RAG pipeline Experience in building Agentic Generative AI applications Fine-tune and optimize foundation models from AWS Bedrock for various use cases. Integrate generative AI capabilities into enterprise applications and workflows. Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to implement AI-powered solutions. Utilize AWS services (S3, Lambda, SageMaker, etc.) to build scalable AI solutions. Develop APIs and interfaces to enable seamless interaction with AI models. Monitor model performance, conduct A/B testing, and enhance AI-driven products. Ensure compliance with AI ethics, governance, and security best practices. Stay up-to-date with advancements in generative AI and AWS cloud technologies. Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in AI/ML development, with a focus on generative AI. Hands-on experience with AWS Bedrock and foundation models. Proficiency in Python and ML frameworks. Experience with AWS services such as SageMaker, Lambda, API Gateway, DynamoDB, and S3. Experience with prompt engineering, model fine-tuning, and inference optimization. Familiarity with MLOps practices and CI/CD pipelines for AI deployment. Ability to work with large-scale datasets and optimize AI models for performance. Excellent problem-solving skills and ability to work in an agile environment. Preferred Qualifications: AWS Certified Machine Learning – Specialty or equivalent certification. Experience in LLMOps and model lifecycle management. Knowledge of multi-modal AI models (text, image, video generation). Hands-on experience with other cloud AI platforms (Google Vertex AI, Azure OpenAI). Strong understanding of ethical AI principles and bias mitigation techniques.

Greetings from AstroSoft Technologies We are Back with Exciting job opportunity for AWS Data Engineer professionals. Join our Growing Team & Explore with us at Hyderabad office (Hybrid- Gachibowli) No.of Openings - 10 Positions Role : AWS Data Engineer Project Domain: USA Client-BFSI, Fintech Experience: 5+ Years Work Location : Hyderabad (Hybrid - Gachibowli) Job Type: Full-Time Company: AstroSoft Technologies (https://www.astrosofttech.com/) Astrosoft is an award-winning company that specializes in the areas of Data, Analytics, Cloud, AI/ML, Innovation, Digital. We have a customer first mindset and take extreme ownership in delivering solutions and projects for our customers and have consistently been recognized by our clients as the premium partner to work with. We bring to bear top tier talent, a robust and structured project execution framework, our significant experience over the years and have an impeccable record in delivering solutions and projects for our clients. Founded in 2004 , Headquarters in Florida, Texas-,USA, Corporate Office - India, Hyderabad Benefits from Astrosoft Technologies H1B Sponsorship (Depends on Project & Performance) Lunch & Dinner (Every day) Health Insurance Coverage- Group Industry Standards Leave Policy Skill Enhancement Certification Hybrid Mode JOB DETAILS: Role: Senior AWS Data Engineer Location : India, Hyderabad, Gachibowli (Vasavi SkyCity) Job Type : Full Time Shift Timings : 12.30 PM to 9.30 PM IST Experience Range - 5+ yrs. Work Mode: Hybrid (Fri & Mon-WFH) Interview Process : 3 Tech Rounds Job Summary: Strong experience and understanding of streaming architecture and development practices using kafka , Kinesis , spark , flink etc, Strong AWS development experience using S3 , SNS , SQS, MWAA ( Airflow ) Glue , DMS and EMR . Strong knowledge of one or more programing languages Python /Java/Scala (ideally Python ) Experience using Terraform to build IAC components in AWS . Strong experience with ETL Tools in AWS ; ODI experience is as plus. Strong experience with Database Platforms: Oracle, AWS Redshift Strong experience in SQL tuning, tuning ETL solutions, physical optimization of databases. Very familiar with SRE concepts which includes evaluating and implementing monitoring and observability tools like Splunk , Data Dog, CloudWatch and other job, log or dashboard concepts for customer support and application health checks. Ability to collaborate with our business partners to understand and implement their requirements. Excellent interpersonal skills and be able to build consensus across teams. Strong critical thinking and ability to think out-of-the box. Self-motivated and able to perform under pressure. AWS certified (preferred) Thanks & Regards Karthik Kumar HR-TAG Lead -India Astrosoft Technologies, Unit 1810, level 18, Vasavi Sky city, Gachibowli, Hyderabad, Telangana 500081. Contact: +91-8712229084 Email: karthik.jangam@astrosofttech.com

We are looking for a skilled Senior Associate to join our team in Bengaluru, with 3-5 years of experience in AWS infrastructure solutions architecture. The ideal candidate will have a strong background in designing and implementing scalable cloud-based systems. Roles and Responsibility Design and implement secure, scalable, and highly available cloud-based systems using AWS services such as EC2, S3, EBS, and Lambda. Collaborate with cross-functional teams to identify business requirements and develop technical solutions that meet those needs. Develop and maintain technical documentation for cloud-based systems, including design documents and implementation guides. Troubleshoot and resolve complex technical issues related to cloud-based systems, ensuring minimal downtime and optimal system performance. Participate in code reviews to ensure high-quality code standards and adherence to best practices. Stay up-to-date with the latest trends and technologies in cloud computing, applying this knowledge to improve existing systems and processes. Job Requirements Strong understanding of cloud computing concepts, including IaaS, PaaS, and SaaS. Proficiency in programming languages such as Python, Java, or C++ is desirable. Experience with containerization using Docker and orchestration using Kubernetes is preferred. Knowledge of Agile methodologies and version control systems like Git is beneficial. Excellent problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. At least 3 years of AWS cloud IaaS and PaaS hands-on experience. A seasoned candidate managing clients requirements end-to-end (discovery, planning, design, implementation, and transition). Plan, develop, and configure AWS infrastructure from conceptualization through stabilization using various AWS tools, methodology, design best practices, etc. Planning for data backup, disaster recovery, data privacy, and security requirements to ensure solution remains secured and compliant with security standards and frameworks. Monitoring, troubleshooting, and resolving infrastructure issues in AWS cloud. Experience in keeping cloud environment secure and proactively preventing downtime. Good knowledge in determining associated security risks and mitigation techniques. Ability to work both independently and in a multi-disciplinary team environment. Own the design documentation of solution implemented i.e., High Level & Low Level Design documents. Perform routine infrastructure analysis and evaluation on resource requirements necessary to maintain and/or improve SLAs. Strong problem-solving skills, customer service, and people skills. Excellent command of the English language (both verbal and written).

Overview We are seeking a highly skilled and motivated Associate Manager AWS Site Reliability Engineer (SRE) to join our team. As an Associate Manager AWS SRE, you will play a critical role in designing, managing, and optimizing our cloud infrastructure to ensure high availability, reliability, and scalability of our services. You will collaborate with cross-functional teams to implement best practices, automate processes, and drive continuous improvements in our cloud environment Responsibilities Design and Implement Cloud Infrastructure: Architect, deploy, and maintain AWS infrastructure using Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. Monitor and Optimize Performance: Develop and implement monitoring, alerting, and logging solutions to ensure the performance and reliability of our systems. Ensure High Availability: Design and implement strategies for achieving high availability and disaster recovery, including backup and failover mechanisms. Automate Processes: Automate repetitive tasks and processes to improve efficiency and reduce human error using tools such as AWS Lambda, Jenkins, and Ansible. Incident Response: Lead and participate in incident response activities, troubleshoot issues, and perform root cause analysis to prevent future occurrences. Security and Compliance: Implement and maintain security best practices and ensure compliance with industry standards and regulations. Collaborate with Development Teams: Work closely with software development teams to ensure smooth deployment and operation of applications in the cloud environment. Capacity Planning: Perform capacity planning and scalability assessments to ensure our infrastructure can handle growth and increased demand. Continuous Improvement: Drive continuous improvement initiatives by identifying and implementing new tools, technologies, and processes. Qualifications Experience: 10+ years of experience and Minimum of 5 years of experience in a Site Reliability Engineer (SRE) or DevOps role, with a focus on AWS cloud infrastructure. Technical Skills: Proficiency in AWS services such as EC2, S3, RDS, VPC, Lambda, CloudFormation, and CloudWatch. Automation Tools: Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation, and configuration management tools like Ansible or Chef. Scripting: Strong scripting skills in languages such as Python, Bash, or PowerShell. Monitoring and Logging: Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or CloudWatch. Problem-Solving: Excellent troubleshooting and problem-solving skills, with a proactive and analytical approach. Communication: Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Certifications: AWS certifications such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or AWS Certified SysOps Administrator are highly desirable. Education: Bachelors degree in Computer Science, Engineering, or a related field, or equivalent work experience.

Java,Spring Boot, AWSGraphQ,RDBMS PostgreSQL, REST APIs. AWS services including EC2, EKS, S3, CloudWatch, Lambda, SNS, and SQS, Junit/Jest, and AI Tools like GitHub Copilot.Desirable-Node.js, Hasura frameworks.

Senior Data Engineer AWS (Glue, Data Warehousing, Optimization & Security) Experienced Senior Data Engineer (6+ Yrs) with deep expertise in AWS cloud Data services, particularly AWS Glue, to design, build, and optimize scalable data solutions. The ideal candidate will drive end-to-end data engineering initiatives — from ingestion to consumption — with a strong focus on data warehousing, performance optimization, self-service enablement, and data security. The candidate needs to have experience in doing consulting and troubleshooting exercise to design best-fit solutions. Key Responsibilities Consult with business and technology stakeholders to understand data requirements, troubleshoot and advise on best-fit AWS data solutions Design and implement scalable ETL pipelines using AWS Glue, handling structured and semi-structured data Architect and manage modern cloud data warehouses (e.g., Amazon Redshift, Snowflake, or equivalent) Optimize data pipelines and queries for performance, cost-efficiency, and scalability Develop solutions that enable self-service analytics for business and data science teams Implement data security, governance, and access controls Collaborate with data scientists, analysts, and business stakeholders to understand data needs Monitor, troubleshoot, and improve existing data solutions, ensuring high availability and reliability Required Skills & Experience 8+ years of experience in data engineering in AWS platform Strong hands-on experience with AWS Glue, Lambda, S3, Athena, Redshift, IAM Proven expertise in data modelling, data warehousing concepts, and SQL optimization Experience designing self-service data platforms for business users Solid understanding of data security, encryption, and access management Proficiency in Python Familiarity with DevOps practices & CI/CD Strong problem-solving Exposure to BI tools (e.g., QuickSight, Power BI, Tableau) for self-service enablement Preferred Qualifications AWS Certified Data Analytics – Specialty or Solutions Architect – Associate

Key Responsibilities Data Pipeline Development: Design, develop, and optimize robust data pipelines to efficiently collect, process, and store large-scale datasets for AI/ML applications. ETL Processes: Develop and maintain Extract, Transform, and Load (ETL) processes to ensure accurate and timely data delivery for machine learning models. Data Integration: Integrate diverse data sources (structured, unstructured, and semi-structured data) into a unified and scalable data architecture. Data Warehousing & Management: Design and manage data warehouses to store processed and raw data in a highly structured, accessible format for analytics and AI/ML models. AI/ML Model Development: Collaborate with Data Scientists to build, fine-tune, and deploy machine learning models into production environments. Focus on model optimization, scalability, and operationalization. Automation: Implement automation techniques to support model retraining, monitoring, and reporting. Cloud & Distributed Systems: Work with cloud platforms (AWS, Azure, GCP) and distributed systems to store and process data efficiently, ensuring that AI/ML models are scalable and maintainable in the cloud environment. Data Quality & Governance: Implement data quality checks, monitoring, and governance frameworks to ensure the integrity and security of the data being used for AI/ML models. Collaboration: Work cross-functionally with Data Science, Business Intelligence, and other engineering teams to meet organizational data needs and ensure seamless integration with analytics platforms. Required Skills and Qualifications Bachelor's or Masters Degree in Computer Science, Engineering, Data Science, or a related field. Strong proficiency in Python for AI/ML and data engineering tasks. Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras. Proficient in SQL and working with relational databases (e.g., MySQL, PostgreSQL, SQL Server). Strong experience with ETL pipelines and data wrangling in large datasets. Familiarity with cloud-based data engineering tools and services (e.g., AWS (S3, Lambda, Redshift), Azure, GCP). Solid understanding of big data technologies like Hadoop, Spark, and Kafka for data processing at scale. Experience in managing and processing both structured and unstructured data. Knowledge of version control systems (e.g., Git) and agile development methodologies. Experience with data containers and orchestration tools such as Docker and Kubernetes. Strong communication skills to collaborate effectively with cross-functional teams. Preferred Skills Experience with Data Warehouses (e.g., Amazon Redshift, Google BigQuery, Snowflake). Familiarity with CI/CD pipelines for ML model deployment and automation. Familiarity with machine learning model monitoring and performance optimization. Experience with data visualization tools like Tableau, Power BI, or Plotly. Knowledge of deep learning models and frameworks. DevOps or MLOps experience for automating deployment of models. Advanced statistics or math background for improving model performance and accuracy.

Min 3 years of relevant experience required. Backend Tech - Node JS. Hands on - Docker, AWS, Kafka / Rabbit & Redis (must)

Proficient in design and implementation, application architecture, and design patterns/SOLID principles. Expert in .NET Core, C# fundamentals, collections, data structures, OOPs, lambda expressions, and LINQ. Experienced in cloud platforms (AWS/Azure) and building microservices using REST-API. Strong in ORMs (e.g., Entity Framework), RDBMS, and PL/SQL. Skilled in Angular with effective team and project management abilities.

Key Responsibilities: Design, implement, and maintain cloud-based infrastructure on AWS. Manage and monitor AWS services, including EC2, S3, Lambda, RDS, CloudFormation, VPC, etc. Develop automation scripts for deployment, monitoring, and scaling using AWS services. Collaborate with DevOps teams to automate build, test, and deployment pipelines. Ensure the security and compliance of cloud environments using AWS security best practices. Optimize cloud resource usage to reduce costs while maintaining high performance. Troubleshoot issues related to cloud infrastructure and services. Participate in capacity planning and disaster recovery strategies. Monitor application performance and make necessary adjustments to ensure optimal performance. Stay current with new AWS features and tools and evaluate their applicability for the organization. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as an AWS Engineer or in a similar cloud infrastructure role. In-depth knowledge of AWS services, including EC2, S3, RDS, Lambda, VPC, CloudWatch, etc. Proficiency in scripting languages such as Python, Shell, or Bash. Experience with infrastructure-as-code tools like Terraform or AWS CloudFormation. Strong understanding of networking concepts, cloud security, and best practices. Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus. Excellent problem-solving, analytical, and troubleshooting skills. Strong communication skills, both written and verbal. AWS certifications (AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are preferred. Preferred Skills: Experience with serverless architectures and services. Knowledge of CI/CD pipelines and DevOps methodologies. Experience with monitoring and logging tools like CloudWatch, Datadog, or Prometheus. Knowledge in AWS FinOps.

about the role Cloud Engineers with experience in managing, planning, architecting, monitoring, and automating large scale deployments to Public Cloud.you will be part of a team of talented engineers to solve some of the most complex and exciting challenges faced in IT Automation and Hybrid Cloud Deployments. key responsibilities Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies Design, deploy and maintain Cloud infrastructure for Clients Domestic & International Develop tools and automation to make platform operations more efficient, reliable and reproducible Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners Take initiatives to lead, drive and solve during challenging scenarios preferred qualifications 1-3 years experience in Cloud Infrastructure and Operations domains Experience with Linux systems and/OR Windows servers Specialize in one or two cloud deployment platforms: AWS, GCP, Azure Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine) Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net) Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios Logging and Monitoring tools (ELK, Stackdriver, CloudWatch) DevOps Technologies Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos) Deep experience in customer facing roles with a proven track record of effective verbal and written communications Dependable and good team player Desire to learn and work with new technologies Automation in your blood

- Passionate about TDD (Test First Development) - Have at least 7 to 10 years of development experience with Python. - Have at least 2 to 3 years of experience with React. - Document key business workflows and software designs. Required Candidate profile - Have built complex applications with AWS Serverless technologies (AppSync, DynamoDB, DynamoDB Streams, Lambda, Cognito, S3, CloudFront, Route 53, Amplify) - Strong knowledge of GraphQL.

Duration: 8Months Job Type: Contract Work Type: Onsite The top 3 Responsibilities: Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc. Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Leadership Principles: Ownership, Customer obsession, Dive Deep and Deliver results Mandatory requirements: 3+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL & SQL Tuning Basic to Mid-level proficiency in scripting with Python Education or Certification Requirements: Any Graduation

Urgent Hiring: Senior Software Engineer Java AWS Location: Bangalore – Domlur (Work from Office – 4 Days/Week) Type: Contract (6 Months, Extendable) Notice Period: Immediate to 15 Days Open Positions: 2 Required Skills: Java (8/11/17) , Spring Boot , Microservices Architecture Experience with Kafka or Apache Camel Minimum 2 Years of AWS Hands-on Experience with: EC2, ECS, S3, SQS, SNS, Lambda, DynamoDB, CloudFormation Experience: 5+ Years

P2 3 Java Full stack - Angular 4-6 yrs DL 20 Java web developers Design, develop, and maintain REST-based microservices using Java. Develop intuitive and responsive user interfaces using modern front-end technologies such as Angular, React, and HTML5 Build and optimize robust back-end services, ensuring seamless integration with databases (SQL). Deploy and manage cloud-native applications on AWS infrastructure. Collaborate with cross-functional teams, including UI/UX designers, DevOps, and product owners, to deliver end-to-end solutions. Ensure the applications performance, scalability, and reliability. Write clean, maintainable, and efficient code while following best practices, including unit testing and code reviews. Troubleshoot, debug, and optimize application code and infrastructure. Stay up to date with emerging technologies and industry trends to drive continuous improvement. Required : We are seeking a highly skilled Software Engineers with expertise in full-stack development. The ideal candidate will have experience building scalable, cloud-native applications and a strong understanding of modern software development practices. Microservice Development: Hands-on experience developing and deploying REST-based microservices using Java frameworks (e.g., Spring and Hibernate). Full-Stack Development: Front-End: Proficiency in Angular, React, and HTML5 for building interactive UIs. Back-End: Expertise in Java for business logic and APIs. Database: Strong understanding of SQL and experience with relational databases. Cloud Experience: Hands-on experience with AWS services (e.g., EC2, S3, Lambda, RDS). Familiarity with cloud-native architecture and deployment practices. Experience with CI/CD tools (Jenkins, GitHub, etc.) and containerization technologies (Docker, Kubernetes). Solid understanding of software development principles, including design patterns, clean code, system design, software architecture and agile methodologies. Experience with Advertising, AdTech, Ad Server (SSP/DSP), OTT or Media Streaming will be preferred. Work Experience : - P2 : 3 to 5Yrs, P3 : 5 to 8yrs. P4 : 8 to 12Yrs Job Location : - Pan India