15 Aws Certification Jobs

Experian is seeking a talented Service Quality Engineer to excel in a dynamic, agile environment, supporting projects and developers by leveraging innovative technologies. As a key contributor, you will play a crucial role in ensuring our platform consistently delivers top-notch quality, thereby supporting Experian's commitment to providing exceptional service to consumers. In this role, you will be tasked with investigating the root causes of product issues, evaluating their extent and impact, and collaborating with our Platform and Engineering teams to implement effective solutions, along with establishing testing protocols to prevent regressions. The Service Quality team adopts a holistic approach towards platform service quality, encompassing the entire software development lifecycle and post-deployment phases. The responsibilities of the Service Quality Engineer include managing issues from inception to resolution, maintaining transparent communication with both customers and internal stakeholders throughout the process, all while prioritizing the safeguarding of the consumer-permissioned data managed by our platform. Key Qualifications: - 5 to 8 years of experience supporting a commercial online software-based product, involving troubleshooting, validation, testing, and analysis. - Recent experience with cloud technologies, particularly AWS (Fargate, S3, RDS, Lambda). - Proficiency in log and application management tools like Splunk, Cloudwatch, and DataDog. - Hands-on expertise in test automation tools, frameworks, and principles, focusing on APIs, UI, and performance testing. - Extensive experience in gathering and assessing specifications and requirements. - Ability to thrive in a dynamic environment, adapt to various technologies, and manage multiple projects concurrently. - Strong communication (verbal & written) and negotiation/documentation skills. Additional Preferred Experience: - Supporting product development for financial services businesses. - Assisting data science efforts and machine learning systems. - Building systems to support financial services businesses. - Familiarity with Docker, Kubernetes, and OpenShift. - Experience with security and privacy compliance standards (GPDR, CCPA, ISO 27001, PCI, HIPAA, etc.). - Knowledge and/or use of DDA, FDX, OFX, and/or FIX protocols. - Hands-on experience with Snowflake, Kafka, and ElasticSearch is highly desirable. - Recent experience in developing commercial systems managing PII, secure data, and transactions, including server-side development and REST/JSON APIs. - AWS Certification is a plus. Candidates who may not find this role or team suitable include those who: - Hold pessimistic views towards new technologies. - Prefer theoretical discussions over practical experimentation. - Dislike participating in Halloween-themed activities. - Prefer focusing on one task exclusively at a time. - Disregard deadlines and schedules as unimportant. Experian is committed to fostering a diverse and inclusive culture, prioritizing work-life balance, professional development, authenticity, collaboration, wellness, as well as recognizing and rewarding its employees. With numerous accolades for its people-centric approach, including recognition as a Great Place to Work in 24 countries, FORTUNE Best Companies to Work For, and Glassdoor Best Places to Work globally (4.4 Stars), Experian provides a supportive and engaging environment for its employees. Explore Experian Life on social media or visit our Careers Site to discover more about working at Experian.,

You are a highly skilled Senior Python Developer who will be responsible for designing and developing scalable and efficient software applications using Python and AWS services. Your role involves collaborating with cross-functional teams to ensure high-quality software applications. Key Responsibilities: Design and develop scalable and efficient software applications using Python and AWS services, including the development of RESTful APIs using Flask or Django, data processing and analytics pipelines using AWS services (e.g. S3, Lambda, Glue), and cloud-based applications using AWS services (e.g. EC2, RDS, Elastic Beanstalk). Collaborate with cross-functional teams, including development teams to ensure testability and feasibility of requirements, Quality Assurance teams to ensure alignment with testing methodologies and standards, and Product Management teams to ensure alignment with product vision and requirements. Develop and maintain AWS services, including S3 bucket management and data processing, Lambda function development and deployment, and Glue data catalog management and ETL development. Participate in testing activities, including unit testing using Python testing frameworks (e.g. unittest, pytest), integration testing using AWS services (e.g. S3, Lambda), and end-to-end testing using AWS services (e.g. API Gateway, Elastic Beanstalk). Collaborate with development teams to ensure timely and accurate defect fixes, including defect tracking and prioritization, defect reproduction and debugging, and defect verification and closure. Stay up-to-date with the latest AWS services and cloud-based technologies, and apply this knowledge to improve software applications and efficiency. Requirements: 5+ years of experience in software development, with a strong understanding of Python and AWS services. Strong understanding of testing frameworks and tools, including Python testing frameworks (e.g. unittest, pytest) and AWS services (e.g. S3, Lambda, Glue). Experience with cloud-based architectures and AWS services, including EC2, RDS, Elastic Beanstalk, S3, Lambda, and Glue. Strong problem-solving skills, with the ability to troubleshoot and debug complex issues. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Bachelor's degree in Computer Science or related field, or equivalent experience. Nice to Have: Experience with Agile development methodologies and Scrum frameworks. Knowledge of containerization using Docker. Familiarity with DevOps tools, such as Jenkins or GitLab. Certification in AWS services or related technologies. Experience with security and compliance frameworks, such as HIPAA or PCI-DSS. What We Offer: Competitive salary and benefits package. Opportunities for career growth and professional development. Collaborative and dynamic work environment. Flexible working hours and remote work options. Access to the latest technologies and tools. Recognition and rewards for outstanding performance. AWS Services Experience: Experience with AWS services, including S3, Lambda, Glue, EC2, RDS, Elastic Beanstalk, API Gateway, and CloudFormation. Experience with AWS SDKs and tools, including Boto3, AWS CLI, and AWS SDKs for Python. Experience with AWS best practices and security guidelines, including IAM roles and permissions, VPC and subnet configuration, security groups and network ACLs, and data encryption and access control.,

Sr Developer- AWS Bengaluru, Karnataka, India Job DescriptionMust be able to perform all essential functions of the position with or without reasonable accommodations. Strong analysis skills and ability to translate business needs into technical solutions. Experience working on an Agile development team preferably using SCRUM. Active participation through all phases of the development lifecycle. Excellent written and verbal communication and collaboration skills. Self-driven, motivated, result oriented. Aptitude to independently learn new technologies. Strong organizational skills to deal with a varied workload and be responsive to the needs of the business Understands the necessity of and contributes to efficient coding standards. Demonstrated ability to influence and consult (providing options with pros, cons and risks) around all key technical decisions during project delivery. Ability to effectively use office automation, communication, software and tools currently used in the HMI office environment. Must be able to perform all essential functions of the position with or without supervision This role will work in the shift timings of 12:00 P.M. to 9:00 P.M. or 2:00 P.M. to 11:00 P.M. IST. The employees could be requested to work in a different shift on rare occasions to support the business during a critical issue or for any releases/migrations that maybe scheduled. Required Skills Python, NodeJS, AWS Certification, Dynamic DBQ, Lamda, API Gateway

Job Description Must be able to perform all essential functions of the position with or without reasonable accommodations. Strong analysis skills and ability to translate business needs into technical solutions. Experience working on an Agile development team preferably using SCRUM. Active participation through all phases of the development lifecycle. Excellent written and verbal communication and collaboration skills. Self-driven, motivated, result oriented. Aptitude to independently learn new technologies. Strong organizational skills to deal with a varied workload and be responsive to the needs of the business Understands the necessity of and contributes to efficient coding standards. Demonstrated ability to influence and consult (providing options with pros, cons and risks) around all key technical decisions during project delivery. Ability to effectively use office automation, communication, software and tools currently used in the HMI office environment. Must be able to perform all essential functions of the position with or without supervision This role will work in the shift timings of 12:00 P.M. to 9:00 P.M. or 2:00 P.M. to 11:00 P.M. IST. The employees could be requested to work in a different shift on rare occasions to support the business during a critical issue or for any releases/migrations that maybe scheduled. Required Skills Python, NodeJS, AWS Certification, Dynamic DBQ, Lamda, API Gateway

We are searching for a skilled DevOps Engineer with a preference for AWS certification and a strong background in DevOps Engineering & Automation to join our team. Your responsibilities will include DevOps Engineering, Automation, working with technologies like Docker, Kubernetes, Jenkins, TeamCity, JIRA, GitHub, Maven, Gradle, Netsparker, Selenium, Nagios, ELK, databases, and SQL. Your role will also involve tasks such as building and setting up new development tools and infrastructure, understanding stakeholder needs, automating development and release processes, code testing, ensuring system security, troubleshooting technical issues, and collaborating with software developers and engineers. Additionally, you will be expected to participate in project planning and management decisions, deploy updates and fixes, develop software integrations, perform root cause analysis for errors, and design procedures for system troubleshooting and maintenance. Proficiency in git, git workflows, Ruby or Python, problem-solving skills, and a collaborative team spirit are essential for success in this role. This position falls under the category of AWS DevOps Engineer and is a full-time opportunity based in Chennai.,

As a Senior Software Engineer with 5-8 years of experience, you will be responsible for developing efficient and scalable software solutions. Your primary focus will be on utilizing Core JAVA (8 or above), Springboot, RESTful APIs, and Microservices architecture to deliver high-quality applications. Additionally, you will be expected to work with Maven and possess strong AWS skills, particularly in services like S3 bucket, step functions, storage gateway, ECS, EC2, DynamoDB, AuroraDB, Lambda functions, and Glue. In this role, it is essential to have expertise in Code management using Git, setting up CI/CD Pipelines with tools like Jenkins/GitHub, and working with Docker/Kubernetes for containerization. Your knowledge of SQL/NoSQL databases such as PostgreSQL and MongoDB will be beneficial. Experience in Testing frameworks like Unit Testing (JUnit/Mockito), integration testing, mutation testing, and TDD is crucial. Proficiency in Kafka, graphQL/Supergraph, and using splunk/honeycomb dashboards will be advantageous. You will also be involved in interacting with APIs, ensuring security in AWS, managing Containers, and holding AWS certifications. The ideal candidate should have strong communication skills, be a team player, and possess a proactive attitude towards problem-solving. This position is based in Hyderabad and offers a competitive salary based on your experience level. If you are passionate about software engineering and have a solid background in the mentioned technologies, we encourage you to apply and be part of our dynamic team.,

You should have expert-level proficiency in Python and Python frameworks or Java. You must have hands-on experience with AWS Development, PySpark, Lambdas, Cloud Watch (Alerts), SNS, SQS, CloudFormation, Docker, ECS, Fargate, and ECR. Deep experience with key AWS services like Compute (PySpark, Lambda, ECS), Storage (S3), Databases (DynamoDB, Snowflake), Networking (VPC, 53, CloudFront, API Gateway), DevOps/CI-CD (CloudFormation, CDK), Security (IAM, KMS, Secrets Manager), Monitoring (CloudWatch, X-Ray, CloudTrail), and NoSQL Databases like Cassandra, PostGreSQL is required. You should have very strong hands-on knowledge of using Python for integrations between systems through different data formats. Expertise in deploying and maintaining applications in AWS, along with hands-on experience in Kinesis streams and Auto-scaling, is essential. Designing and implementing distributed systems and microservices, and following best practices for scalability, high availability, and fault tolerance are key responsibilities. Strong problem-solving and debugging skills are necessary for this role. You should also have the ability to lead technical discussions and mentor junior engineers. Excellent written and verbal communication skills are a must. Comfort working in agile teams with modern development practices and collaborating with business and other teams to understand business requirements and work on project deliverables is expected. Participation in requirements gathering, understanding, designing a solution based on available framework and code, and experience with data engineering tools or ML platforms (e.g., Pandas, Airflow, SageMaker) are required. An AWS certification such as AWS Certified Solutions Architect or Developer is preferred. This position is based in multiple locations including Indore, Mumbai, Noida, Bangalore, Chennai in India. Qualifications: - Bachelor's degree or foreign equivalent required from an accredited institution. Consideration will be given to three years of progressive experience in the specialty in lieu of every year of education. - At least 8+ years of Information Technology experience.,

You should have a B.Tech/B.E/MSc/MCA qualification along with a minimum of 10 years of experience. As a Software Architect - Cloud, your responsibilities will include architecting and implementing AI-driven Cloud/SaaS offerings. You will be required to research and design new frameworks and features for various products, ensuring they meet high-quality standards and are designed for scale, resiliency, and efficiency. Additionally, motivating and assisting lead and senior developers for their professional and technical growth, contributing to academic outreach programs, and participating in company branding activities will be part of your role. To qualify for this position, you must have experience in designing and delivering widely used enterprise-class SaaS applications, preferably in Marketing technologies. Knowledge of cloud computing infrastructure, AWS Certification, hands-on experience in scalable distributed systems, AI/ML technologies, big data technologies, in-memory databases, caching systems, ETL tools, containerization solutions like Kubernetes, large-scale RDBMS deployments, SQL optimization, Agile and Scrum development processes, Java, Spring technologies, Git, and DevOps practices are essential requirements for this role.,

You should possess expert-level proficiency in Python and Python frameworks or Java. Additionally, you must have hands-on experience with AWS Development, PySpark, Lambdas, Cloud Watch (Alerts), SNS, SQS, CloudFormation, Docker, ECS, Fargate, and ECR. Your deep experience should cover key AWS services such as Compute (PySpark, Lambda, ECS), Storage (S3), Databases (DynamoDB, Snowflake), Networking (VPC, 53, CloudFront, API Gateway), DevOps/CI-CD (CloudFormation, CDK), Security (IAM, KMS, Secrets Manager), and Monitoring (CloudWatch, X-Ray, CloudTrail). Moreover, you should be proficient in NoSQL Databases like Cassandra, PostgreSQL, and have strong hands-on knowledge of using Python for integrations between systems through different data formats. Your expertise should extend to deploying and maintaining applications in AWS, with hands-on experience in Kinesis streams and Auto-scaling. Designing and implementing distributed systems and microservices, scalability, high availability, and fault tolerance best practices are also key aspects of this role. You should have strong problem-solving and debugging skills, with the ability to lead technical discussions and mentor junior engineers. Excellent communication skills, both written and verbal, are essential. You should be comfortable working in agile teams with modern development practices, collaborating with business and other teams to understand business requirements and work on project deliverables. Participation in requirements gathering and understanding, designing solutions based on available frameworks and code, and experience with data engineering tools or ML platforms (e.g., Pandas, Airflow, SageMaker) are expected. An AWS certification (AWS Certified Solutions Architect or Developer) would be advantageous. This position is based in multiple locations in India, including Indore, Mumbai, Noida, Bangalore, and Chennai. To qualify, you should hold a Bachelor's degree or a foreign equivalent from an accredited institution. Alternatively, three years of progressive experience in the specialty can be considered in lieu of each year of education. A minimum of 8+ years of Information Technology experience is required for this role.,

You will be responsible for leading the migration of on-premises applications to AWS, optimizing cloud infrastructure, and ensuring seamless transitions. Your key responsibilities will include planning and executing migrations of on-prem applications to AWS, utilizing or developing migration tools for large-scale application migrations, designing and implementing automated application migrations, as well as collaborating with cross-functional teams to troubleshoot and resolve migration issues. To succeed in this role, you should have at least 3 years of AWS cloud migration experience, proficiency in Cloud compute (EC2, EKS) and Storage (S3, EBS, EFS), strong knowledge of AWS cloud services and migration tools, and expertise in Terraform. AWS certification would be a plus.,

Job Summary: We are seeking a highly skilled and motivated Machine Learning Engineer with a strong foundation in programming and machine learning, hands-on experience with AWS Machine Learning services (especially SageMaker), and a solid understanding of Data Engineering and MLOps practices. You will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment. Key Responsibilities: • Design and implement machine learning models and pipelines using AWS SageMaker and related services. • Develop and maintain robust data pipelines for training and inference workflows. • Collaborate with data scientists, engineers, and product teams to translate business requirements into ML solutions. • Implement MLOps best practices including CI/CD for ML, model versioning, monitoring, and retraining strategies. • Optimize model performance and ensure scalability and reliability in production environments. • Monitor deployed models for drift, performance degradation, and anomalies. • Document processes, architectures, and workflows for reproducibility and compliance. Required Skills & Qualifications: • Strong programming skills in Python and familiarity with ML libraries (e.g., scikitlearn, TensorFlow, PyTorch). • Solid understanding of machine learning algorithms, model evaluation, and tuning. • Hands-on experience with AWS ML services, especially SageMaker, S3, Lambda, Step Functions, and CloudWatch. • Experience with data engineering tools (e.g., Apache Airflow, Spark, Glue) and workflow orchestration. Machine Learning Engineer - Job Description • Proficiency in MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines, Docker, Kubernetes). • Familiarity with monitoring tools and logging frameworks for ML systems. • Excellent problem-solving and communication skills. Preferred Qualifications: • AWS Certification (e.g., AWS Certified Machine Learning Specialty). • Experience with real-time inference and streaming data. • Knowledge of data governance, security, and compliance in ML systems

The Welding / Production Engineer - Weld Shop will support the production team to ensure on-time product delivery by collaborating with various departments such as Planning, Project Management, Quality, EH&S, and stores. You will be an integral part of a fast-paced environment within the production team at Koch Engineered Solutions (KES), a global leader in emissions-control products, Mass transfer product, and clean-air Combustion systems. KES is renowned for its proven performance, research and development capabilities, and expert service and support across a wide range of products and services. Your responsibilities will include supervising and coordinating production efforts to drive improvements in EHS, compliance, reliability, quality, production, and costs. You will be expected to promote safety excellence, monitor product quality, troubleshoot production issues, minimize waste, and ensure compliance with standards and specifications. Additionally, you will play a key role in team development, welding procedure design, equipment selection, personnel supervision, and continuous improvement initiatives. To qualify for this role, you should hold a Diploma or Bachelor's degree in Mechanical Engineering, with a minimum of 2 to 5 years of experience in leading engineering teams, specifically in weld/fabrication shop environments within the oil and gas industries. Proficiency in Microsoft Office Suite and PC-based production reporting systems is required, along with the ability to work flexible shifts. Additional preferred qualifications include AWS certification, ASNT NDE Level-II certification, and familiarity with ASME/UN/ISO standards. As part of the Koch family of companies, we value entrepreneurial spirit and innovation. We encourage individuals to challenge the status quo, create value, and contribute to our collective success. We believe in empowering employees to unleash their potential and create value for themselves and the organization. Koch is committed to fostering an equal opportunity workplace where individuals can thrive and grow professionally.,

Cloud DevOps Engineer (AWS) 3 to 5 Years Experience Location - Mumbai ( WFO) Core Technical Skills: 1. AWS Services: AWS EKS/ECS, RDS, NACLs, Route Tables, Security Services config 2. CI/CD & Infrastructure As Code: Jenkins, Terraform, DevSecOps, End-to-end DevOps 3. Containerization: Docker and Kubernetes 4. Familiarity with tools: ELK, Redis, WAf, Firewall, VPN, Cloudfront/CDN, 5. Linux OS Bonus Skills: 1. AWS Certification (e.g., AWS Certified DevOps Engineer/AWS Solution Architect) 2. Knowledge of cost optimization techniques 4. Linux Administration: Strong in managing Linux and automation via scripts

Freelance Interviewer-NCino Experience:7 to 10 years About the company We are an HR Tech company based in Trivandrum, offering hiring support to MNCs across India through interview ,assessments and recruitment services. We have a network of 4000+ experienced professionals who take interviews in their available time slots. Were looking for experienced professionals across various domains who can take up freelance interviews for our clients. Interviews are conducted remotely, and schedules are flexible based on your availability. And currently we are looking at panels for the given description. Experience 5 -7 Years; Minimum 3 years of Product experience in nCino Loan Origination System. Working experience in implementing nCino Loan Origination System Technical Skills Salesforce APEX Development nCino Configuration experience nCino Admin experience nCino/Salesforce Integration Development experience nCino Workflow Development/Maintenance nCino Implementation experience nCino Data Migration experience Design Principles Cloud Security Experience Cloud DevOps experience nCino Certification Salesforce Certification AWS Certification Functional Skills Good understanding of Banking domain and terminologies used Functional experience in Commercial Loan Origination nCino Admin experience - Functional impact understanding Module expertise gained over years Multiple module handling knowledge Understanding Client specific requirements Close coordination with Business stakeholders Multiple module handling knowledge Experience on the complete product lifecycle Understanding of Dependent systems

Key Responsibilities: Cloud Infrastructure Management : Design, deploy, and maintain AWS cloud environments, leveraging a wide range of AWS services to meet business requirements for performance, scalability, and cost optimization. Security & Compliance : Implement and manage security controls, compliance frameworks, and cloud security best practices, including access control, encryption, monitoring, and threat detection. High-Availability Solutions : Develop and manage highly available, scalable cloud platforms to ensure minimal downtime and maximum reliability. Network Architecture : Create and maintain network diagrams and cloud architecture documentation, illustrating detailed system designs, security postures, and data flow. SIEM Integration : Integrate and manage Security Information and Event Management (SIEM) tools to enhance cloud security monitoring and response capabilities. Automation & Optimization : Automate infrastructure deployments and cloud management tasks using Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, or equivalent technologies. Monitoring & Performance Tuning : Monitor cloud environments, identify performance bottlenecks, and optimize cloud resource usage and configuration for cost and efficiency. Collaboration : Work closely with cross-functional teams, including developers, operations, and security, to ensure seamless cloud integration and optimal system performance. Incident Response : Support and lead incident response activities related to cloud security and operational issues, ensuring quick resolution and root cause analysis.