241 Aws Iam Jobs

About the Role: Grade Level (for internal use): 12 Key Responsibilities: Lead the implementation and maintenance of security best practices to protect sensitive data across our systems. Collaborate with development teams to integrate security into the software development lifecycle (SDLC) and drive security initiatives. Automate deployment processes and manage infrastructure as code using tools such as Terraform or CloudFormation. Monitor system performance and security, responding to incidents and vulnerabilities promptly and effectively. Develop and maintain CI/CD pipelines to ensure efficient and secure software delivery. Conduct security assessments, audits, and penetration testing to identify and mitigate risks. Mentor and guide junior engineers, fostering a culture of continuous learning and best practices in DevSecOps. Collaborate with cross-functional teams to ensure compliance with industry standards and regulations. Qualifications: Proficient in scripting languages and familiar with Java. Strong understanding of cloud security practices and AWS services. Extensive experience with DevOps tools. Knowledge of data security frameworks and compliance standards. Strong leadership, problem-solving skills, and ability to communicate effectively with team members. Why Join Us: Opportunity to lead and work on dynamic and innovative projects. Collaborate with a talented team of engineers and industry experts. Contribute to the growth and security of our organization. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The RoleLead Cloud Engineer The Team: We are looking for a dynamic AWS Cloud Support Engineer to join our team, working across multiple AWS accounts to ensure seamless cloud operations. This is a varied role that requires deep technical expertise, strategic planning, and strong stakeholder communication. Collaboration is at the core of our team, so if you thrive in a fast-paced, problem-solving environment, we'd love to hear from you. The Impact: Contribute significantly to the growth of the firm byDeveloping innovative functionality in existing and new products/ Supporting and maintaining high revenue products. Whats in it for you: A collaborative team culture that values innovation and problem-solving. Opportunity to work on diverse projects spanning multiple AWS accounts. A chance to shape cloud strategy and architecture in a growing organizational division. Actively supported in taking learning opportunities . Exciting open-door collaboration within the EDO Agentic AI experience. Key Responsibilities: Architecture Planning: Design and refine AWS architectures to meet business needs, ensuring security, scalability, and cost-effectiveness. Cost Management: Keep an eye on infrastructure costs and recommendations, propose changes to stakeholders to reduce cloud spend and waste. Multi-Account Management: Oversee cloud environments across numerous AWS accounts, maintaining best practices for governance and security. Troubleshooting & Incident Response: Diagnose and resolve complex technical issues related to AWS services, infrastructure, and networking. Stakeholder Collaboration: Communicate effectively with teams across the organization, providing insights, technical recommendations, and status updates. Automation & Optimization: Develop scripts and tools to automate deployments, monitoring, and management processes. Security & Compliance: Ensure adherence to security policies and regulatory requirements within AWS environments. Continuous Improvement: Stay updated with AWS advancements and recommend improvements for existing cloud strategies. : Proven experience in AWS cloud infrastructure and services. Strong understanding of networking, security, and cloud architecture best practices. Proficiency in Terraform, CloudFormation, or other Infra as Code tools is a plus. Hands-on experience with EC2, S3, RDS, Lambda, VPC , Bedrock and other AWS services preferred. Ability to troubleshoot complex system and network issues across cloud environments. Excellent communication skills and the ability to work collaboratively in a team-oriented environment . AWS certifications (Solutions Architect, SysOps, or Developer) are preferred but not mandatory. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.2 - Middle Professional Tier II (EEO Job Group)

FICO (NYSEFICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity "FICO is seeking a senior AWS Cloud Engineer who thrives working in a fast paced state of the art Cloud environment. This position will be heavily involved with the migration of our existing products, as well as the development of new products within our cloud platform Director, Cloud Engineering What Youll Contribute Collaborate with security teams to define security standards for AWS. Ensure suitable tooling and functionality is available to meet security requirements in the AWS environment. Connect with product teams to provide expert advice on migrating existing products into an AWS environment in a secure manner. Engage with security teams to ensure solutions delivered in AWS are secured to FICO standards. Provide AWS Bestpractice security guidanceto all other FICO teams. Assist with Infrastructure Engineering team to design and maintain an appropriate AWS shared Infrastructure" component, and in particular with securing the environment. Provide guidance on delivering solutions that deliver cross platformcompatibility in a secure manner. What Were Seeking Knowledge on infrastructure as code & kubernetes management concepts such as Crossplane, Helm, yaml, ArgoCD, GIT HUB Strong with AWS services such as EKS, Bottlerocket, Service Mesh, RDS, S3, VPC Design, implement, and manage EKS clusters to support microservices and container-based applications Collaborate with application and platform teams to define best practices around Kubernetes resource usage, security, and performance Implement and manage cluster networking, ingress, and observability solutions (Prometheus, Grafana, Splunk) Define and enforce RBAC policies, network policies, and compliance standards for secure Kubernetes operations Troubleshoot and resolve complex infrastructure and application issues in EKS environments Familiarity with service mesh technologies (e.g., Istio) and Kubernetes operators Certified Kubernetes Administrator (CKA). Solution Architect Associate/profressional would be a plus Willing to adapt to the "you build it, you run it" model, taking ownership of services from development through to production support. Will be required to collaborate with both internal and external stakeholders to troubleshoot and resolve issues. Must participate in an on-call rotation and be available to work outside of normal business hours as needed. Weekday working hours - 2 to 11 PM IST (UK shift) Our Offer to You An inclusive culture strongly reflecting our core valuesAct Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today Big Data analytics. Youll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide Credit Scoring FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security 4 billion payment cards globally are protected by FICO fraud systems. Lending 3/4 of US mortgages are approved using the FICO Score. Global trends toward digital transformation have created tremendous demand for FICOs solutions, placing us among the worlds top 100 software companies by revenue. We help many of the worlds largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people just like you who thrive on the collaboration and innovation thats nurtured by a diverse and inclusive environment. Well provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks! Learn more about how you can fulfil your potential at www.fico.com/Careers FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and were proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they dont meet all stated qualifications. While our qualifications are clearly related to role success, each candidates profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to theFICO Privacy policy at https://www.fico.com/en/privacy-policy

Software : Strong knowledge of .NET and C# Proficiency with AWS services and cloud technologies Experience with Agile and Waterfall methodologies Familiarity with project management tools such as Jira, SharePoint, MS Excel, PowerPoint, and Power BI Overall Responsibilities: End-to-End Delivery Management: Oversee the delivery management process for multiple initiatives, ensuring projects are completed on time, within scope, and budget. Team Leadership: Lead and mentor a diverse team of developers, quality engineers, business analysts, and support staff, fostering a collaborative and high-performing work environment. Stakeholder Engagement: Act as the primary point of contact for stakeholders, managing expectations and ensuring alignment between technology solutions and business objectives. Governance and Compliance: Implement and uphold governance policies, standards, and procedures throughout the project lifecycle. Technical Oversight: Provide guidance on architecture, design, and technology solutions, ensuring alignment with industry best practices. Continuous Improvement: Identify opportunities for process optimization and implement strategies to enhance delivery efficiency and effectiveness. Financial Management: Oversee project budgets, reporting on financial performance and optimizing resource allocation. Risk Management: Proactively identify and mitigate risks and dependencies that may impact project delivery. Performance Metrics: Establish and monitor KPIs to measure project success and customer satisfaction. Technical Skills: Essential: .NET and C# Development: Strong programming skills and experience in .NET and C# AWS Cloud Technologies: Proficiency in AWS services and cloud-based solutions Project Management: Strong understanding of Agile and Waterfall methodologies Proficiency in project management tools such as Jira, SharePoint, MS Excel, PowerPoint, and Power BI Preferred: Continuous Integration and DevOps: Experience in Continuous Integration (CI) processes and best practices Software Development and Architecture: Background in software development and architecture Release Management: Familiarity with release management and logistics around software rollouts Experience: 12 to 15 years of experience in managing IT projects within a technology organization, particularly with .NET, C#, and AWS Experience in managing cross-functional teams and global stakeholders Day-to-Day Activities: Oversee and manage the delivery of multiple technology projects Lead and mentor team members, ensuring a collaborative and high-performing environment Engage with stakeholders to manage expectations and ensure alignment with business objectives Implement and enforce governance policies, standards, and procedures Provide technical guidance on architecture, design, and technology solutions Identify and implement process improvements to enhance delivery efficiency Manage project budgets and financial performance Identify and mitigate project risks and dependencies Monitor and report on project performance metrics and customer satisfaction Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field Proven experience in managing IT projects within a technology organization, particularly with .NET, C#, and AWS Soft Skills: Excellent written and verbal communication skills Strong negotiation and conflict resolution abilities Data-driven mindset with the ability to analyze metrics and present findings to senior leadership Ability to work effectively in a team environment and manage cross-functional teams Strong organizational skills and attention to detail Ability to handle multiple tasks and prioritize effectively S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .

Stellantis is seeking a passionate, innovative, results-oriented Information Communication Technology (ICT) Manufacturing AWS Cloud Architect to join the team. As a Cloud architect, the selected candidate will leverage business analysis, data management, and data engineering skills to develop sustainable data tools supporting Stellantiss Manufacturing Portfolio Planning. This role will collaborate closely with data analysts and business intelligence developers within the Product Development IT Data Insights team. Job responsibilities include but are not limited to Having deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms Assembling large, complex sets of data that meet non-functional and functional business requirements Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, cloud and other SQL technologies. Working with stakeholders to support their data infrastructure needs while assisting with data-related technical issues Maintain high-quality ontology and metadata of data systems Establish a strong relationship with the central BI/data engineering COE to ensure alignment in terms of leveraging corporate standard technologies, processes, and reusable data models Ensure data security and develop traceable procedures for user access to data systems Qualifications, Experience and Competency Education Bachelors or Masters degree in Computer Science, or related IT-focused degree Experience Essential Overall 10-15 years of IT experience Develop, automate and maintain the build of AWS components, and operating systems. Work with application and architecture teams to conduct proof of concept (POC) and implement the design in a production environment in AWS. Migrate and transform existing workloads from on premise to AWS Minimum 5 years of experience in the area of data engineering or data architectureconcepts, approach, data lakes, data extraction, data transformation Proficient in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies. Experience operating very large data warehouses or data lakes Investigate and develop new micro services and features using the latest technology stacks from AWS Self-starter with the desire and ability to quickly learn new technologies Strong interpersonal skills with ability to communicate & build relationships at all levels Hands-on experience from AWS cloud technologies like S3, AWS glue, Glue Catalog, Athena, AWS Lambda, AWS DMS, pyspark, and snowflake. Experience with building data pipelines and applications to stream and process large datasets at low latencies. Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Desirable Familiarity with data analytics, Engineering processes and technologies Ability to work successfully within a global and cross-functional team A passion for technology. We are looking for someone who is keen to leverage their existing skills while trying new approaches and share that knowledge with others to help grow the data and analytics teams at Stellantis to their full potential! Specific Skill Requirement AWS services (GLUE, DMS, EC2, RDS, S3, VPCs and all core services, Lambda, API Gateway, Cloud Formation, Cloud watch, Route53, Athena, IAM) andSQL, Qlik sense, python/Spark, ETL optimization , If you are interested, please Share below details and Updated Resume Matched First Name Last Name Date of Birth Pass Port No and Expiry Date Alternate Contact Number Total Experience Relevant Experience Current CTC Expected CTC Current Location Preferred Location Current Organization Payroll Company Notice period Holding any offer

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. Demonstrate and promote Cloud Security for serverless architecture including AWS Lambda, Google Cloud Functions, and Azure Functions Ensure secure configuration of cloud networking components (VPCs, subnets, gateways, etc.), enforcing the principle of least privilege in cloud environments. Securing container technology such as Kubernetes and Docker Harden compute resources (VMs, containers, etc.) and establish secure runtime environments. Automation DDoS Mitigation & Web Application Firewall (WAF) Management Provide security expertise and guidance to development and engineering teams Define technical control requirements, evaluate existing tool effectiveness, and propose solutions to enhance the company's cloud security posture Acts as a consultant on best practices to internal customers to ensure processes are embedded to ensure compliance to security standards 3-5 years of combined experience as a Software Engineer, Security Engineer or a Cloud Security Engineer At least 3 years of experience building and architecting on Cloud-based Platforms In-depth knowledge of cloud security principles, cloud-native security tools (e.g., AWS IAM, Security Hub, Azure Sentinel), and practices like encryption, IAM, and micro-segmentation. Detailed understanding of Cloud Security fundamentals Professional experience architecting/operating solutions and security frameworks built on AWS, Azure, or Google Cloud and virtualization technologies, such as Kubernetes, Docker and OpenStack The ability to design, install and maintain security controls over multi-cloud platforms 3-5 years of relevant experience working with technologies such as Ansible, Terraform, RegEx, Chef Comfortable working with at least one scripting Languages such as Python, Bash, PowerShell, batch scripts. Experience managing and provisioning infrastructure using Infrastructure as Code tools. Experience with Cloud Security Posture Management tools. Experience providing security threat assessments and technical guidance for network architecture design and security considerations. Experience communicating effectively across internal and external organizations, for complex mission-critical solutions. Outstanding written and verbal communication skills Bachelor's degree or Master's degree in Information Systems, Information Security, or related fields; preferred but not required. Certification in any of the following a plusGoogle Professional Cloud Security Engineer; AWS Cloud Architect; Azure Security Engineer Associate; CISSP Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! Disability Accommodation UKGCareers@ukg.com

Greetings from PVT LTD Immediate Openings on# AWS CLOUD ADMIN_Panindia_Contract 6+ Years AWS CLOUD ADMINPanindia PeriodImmediate. TypeContract Description AWS Infra Services VPN CDN VPC EC2 S3 RDS IAM SNS. Compute AWS Infra with Cloud Formation Templates and Auto Scaling Policies. Compute EBS extend/modify Snapshots and Restoration and data backups. Daily AMI Backups and database AWS Instances for Backup and DR purposes. Compute S3 (Create Buckets Upload/Download files) Backup of S3 Buckets. Compute EFS as File System and mount shared systems (VMs) as per the Environment. Compute and Provision RDS (Database instance Performance parameter groups) Instances. Compute Key Management System for EBS S3 Git Secret and Access Keys. Compute Customized IAM Roles and Policies for AWS IAM Users Privileges. Virtualization with Docker ECS ECR for high availability of Applications. Monitor the AWS Infrastructure with CloudWatch email alerts and SNS notifications. Configure and fine-tune cloud infrastructure systems (account/regions/zones etc.) Develop scripts for automating Cloud/server tasks Establish and improve metrics monitor cloud AWS utilization of resources using CloudWatch Perform on premise resources backup by utilizing AWS Services Working as Cloud Administrator on Microsoft Azure involved in configuring virtual machines storage accounts resource groups. Managing Windows 2016 2012 and Linux (RHEL Ubuntu and SuSE) servers Managing day to day activity of the cloud environment supporting development teams with their requirements. Additional knowledge in VMware Active directory WSUS Firewall and Symantec will be added advantage AWS Application Migration Services AWS Server Migration Services AWS ADS Agents AWS MGN Agents AWS CloudFormation Terraform Templates

Project description Luxoft is one of the leading service provider for Banking and Capital Market customers. Luxoft has been engaged by an large Australian bank for providing L1/L2 Application Monitoring and Production Support services for business-critical applications and interfaces on 24/5 basis on a managed outcome basis in the Global Markets business area. We are looking for motivated individuals who have relevant skills & experience and are willing to work in shifts. Responsibilities Develop and maintain Unix shell scripts for automation tasks. Write and optimize Python scripts for process automation and data handling. Design, implement, and maintain scalable cloud infrastructure using AWS services (EC2, S3, Lambda, etc.). Monitor and troubleshoot cloud environments for optimal performance. Monitor and optimize system resources and automate routine administrative tasks and BAU tasks. Production Environment monitoring & Issue Resolution. Control SLA and notify management or the client in case of unexpected behavior. Support end-to-end data flows and health and sanity checks of the systems and applications. Escalate the issues (internally to Group lead/PM) with environment and application health. Logs review and data discovery in database tables for investigation of workflow failures. Investigate and supply analysis to fix application/configuration issues in the production environment. Contact/chase responsible support/upstream/downstream/cross teams and ask for root cause analysis from them on issues preventing end-to-end flow to work as designed. Regular update on issue status until addressed, notifying the client on status changes; expected time to address. Participate in ad-hoc/regular status calls on application health with the client to discuss critical defects/health check status. Working with business users service requests, which includes investigation of business logic and application behavior. Work with different data format transformation processes (XML, Pipeline). Work with source control tools (GIT/SVN) in order to investigate configuration or data transformation-related issues. Work with middleware and schedulers on data flow and batch process control. Focus on continuous proactive service improvement and continuous learning. Ensure customer service excellence and guaranteed response within SLA timeline by actively monitoring support emails/tickets and actively working on them till the issue is fully remediated. Ensuring all incident tickets are resolved in a timely and comprehensive manner. Track and identify frequently occurring, high-impact support issues as candidates for permanent resolution. Bachelor's Degree from a reputed university with good passing scores. Skills Must have 7 to 12 years as a L2/L3 Production Support along with Site Reliability Engineer having strong knowledge of Unix shell scripting Develop and maintain Unix shell scripts for automation tasks. Write and optimize Python or Shell scripts for process automation and data handling. Good knowledge of any scripting language would be fine. Basic Knowledge on AWS services (EC2, S3, etc.). Monitor and optimize system resources and automate routine administrative tasks and BAU tasks. Good Understanding of Incident/Change/Problem Management process. Required Skills: Strong experience with Unix Shell Scripting. Proficiency in Python Scripting for automation. Proficiency in any scripting language and have hands-on experience in automation. Strong Knowledge of Database Basic understanding of AWS services and cloud Basic knowledge and experience supporting cloud applications. Ability to troubleshoot and resolve technical issues in a Production Environment. Nice to have Preferred Skills (Optional): Experience with containers (Docker, Kubernetes). Familiarity with CI/CD pipelines, version control systems (e.g., Git). Knowledge of Infrastructure-as-Code tools like Terraform. Strong problem-solving and communication skills. OtherLanguagesHindiB1 Intermediate,EnglishC1 Advanced SenioritySenior

Ab Initio with ETL Tester: Hands on 3-5 years of experience in ETL / Data Warehousing Preferably Ab Initio Hands on 3-5 years experience in Oracle Advanced SQL (ability to construct and execute complex SQL queries understand Oracle errors) Hands on Experience in API testing (Fine to have one of the resource have this skill) Hands experience in Unix Good Analytical reporting communication skills Lead the scrum team in using Agile methodology and scrum practices Helping the product owner and development team to achieve customer satisfaction Lead the scrum and development teams in self-organization Remove impediments and coach the scrum team on removing impediments Help the scrum and development teams to identify and fill in blanks in the Agile framework Resolve conflicts and issues that occur Help the scrum team achieve higher levels of scrum maturity Support the product owner and provide education where needed Required Skills Knowledge on Tool and integration with CI/CD tools like Jenkins Travis CI or AWS CodePipeline Collaborate with clients to understand their business requirements and design custom contact center solutions using AWS Connect Demonstrate deep knowledge of AWS Connect and its integration with other AWS services including Lambda S3 DynamoDB and others Prior experience of 3+ on a scrum team Must have AWS Connect Knowledge Ability to analyze and think quickly and to resolve conflict Knowledgeable in techniques to fill in gaps in the scrum Ability to determine what is scrum and what is not Experience with successful Agile techniques Ability to work with and lead a team Strong communication interpersonal and mentoring skills Ability to adapt to a changing environment Self-motivation and ability to stay focused in the middle of distraction

Extensive experience with AWS services : IAM, S3, Glue, CloudFormation and CloudWatch In-depth understanding of AWS IAM policy evaluation for permissions and access control Proficient in using Bitbucket, Confluence, GitHub, and Visual Studio Code Proficient in policy languages, particularly Rego scriptingGood to Have Skills : Experience with the WIZ tool for security and compliance Good programming skills in Python Advanced knowledge of additional AWS services : ECS, EKS, Lambda, SNS and SQSRoles & ResponsibilitiesSenior Developer on the Wiz team specializing in Rego and AWS------ ------Project Manager - One to Three Years,AWS Cloud Formation - Four to Six Years,AWS IAM - Four to Six Years------PSP Defined SCU in Data engineer.

Overview We are seeking a DevOps Engineer II to join the Critical Start Technologies Private Ltd. team, operating under the Critical Start umbrella, for our India operations. The ideal candidate brings 3-5 years of hands-on experience in cloud-native infrastructure, CI/CD automation, and Infrastructure as Code. You bring advanced skills in AWS and Terraform, a strong understanding of scalable systems, and a mindset geared toward security, resilience, and automation-first practices. The ideal candidate has worked in complex environments with microservices, container orchestration, and multi-account AWS structures. You take pride in building robust DevOps pipelines and actively contribute to architectural and operational decisions. Experience leading small initiatives or mentoring junior engineers is a plus. Responsibilities As a DevOps Engineer II, you will be a technical contributor and enabler for scalable infrastructure delivery and automation practices. Your role involves: Owning and improving the infrastructure codebase : maintaining reusable and modular Terraform configurations, setting standards for code structure, and contributing to design documentation. Building and evolving CI/CD pipelines : designing resilient and secure build/deploy pipelines using GitHub Actions, AWS CodePipeline, or equivalent. Monitoring and Observability : developing dashboards and proactive alerting with CloudWatch, Prometheus, or New Relic to ensure high availability and quick recovery. Infrastructure Security and Compliance : implementing IAM best practices, Secrets Manager, least privilege policies, and conducting periodic audits. Optimizing cloud spend and performance through rightsizing, auto-scaling, and cost monitoring strategies. Collaborating closely with development, QA, and security teams to support full software delivery lifecycle from development through production. Participating in incident response and postmortem analysis. Qualifications Required Qualifications: 3-5 years of professional experience in DevOps, SRE, or Cloud Engineering roles. Advanced Terraform experience, including custom module design, remote state management, and backend locking. Deep knowledge of AWS services (VPC, IAM, ECS/Fargate, EC2, RDS, ALB/NLB, S3, CloudWatch, Secrets Manager, etc.). Strong background in Linux systems administration, including networking and performance tuning. Proven expertise in Docker, ECS/EKS, and secure image lifecycle. Strong scripting and automation skills using Bash, Python, or Go. Experience with GitOps, infrastructure promotion strategies, and artifact management. Familiarity with log aggregation and tracing (e.g., Fluentd, Open Telemetry, Sentry). Exposure to infrastructure testing frameworks (e.g., Terratest, InSpec). Excellent communication and cross-functional collaboration skills. Bachelor’s or Master’s degree in Computer Science or related field. Preferred Qualifications: Additional scripting experience is a strong plus. Knowledge of security and compliance frameworks like SOC2, CIS Benchmarks, or ISO 27001 is a plus. Experience working in regulated environments or with customer-facing infrastructure. Contributions to open-source infrastructure tools or Terraform modules. Exposure to Kubernetes or hybrid cloud platforms. Experience with IaC scanning tools like Checkov, tfsec, or Bridgecrew.

We are looking for a seasoned DevOps Engineer to join a 6-month full-time project based in Hyderabad. The ideal candidate will have 7-10 years of experience working with distributed systems and cloud infrastructure. In this role, you will contribute to new feature development, manage CI/CD pipelines, monitor systems, and implement scalable cloud-based solutions. Youll work closely with engineering, security, and compliance teams, leveraging tools like Docker, Kubernetes, Jenkins, and AWS services. Experience with automation tools such as Ansible or Terraform and scripting in Python is an added advantage. Strong communication, documentation, and problem-solving skills are essential. Education- Bachelors Degree in Computer Science, Information Systems, or a related field

Java fullstack developer2 5 to 8 years of experience in developing web-based applications in Core Java/J2EE and Microservices technologies Experience on Spring, Spring Boot, Hibernate, highly responsive web applications using React JS, Angular. Experience with JavaScript build tools and dependency management (npm, Node Js) Experience and good Knowledge on Docker / Kubernetes and AWS Services Experience with a versioning system (e.g., CVS/SVN/Git) Good Knowledge of HTML/HTML5/CSS, JavaScript/AJAX, Redis Cache and XML Good understanding of SQL (MySQL, Oracle) and relational databases and NO SQL databases Familiarity with design patterns and should be able to design small to medium modules independently Experience with Agile or similar development methodologies Strong verbal communications.

Full Stack .NET core + Angular with AWS Experience1 Education Bachelors or Masters degree in Computer Science, Engineering, or related field. Experience Minimum of 8 years of experience in .NET Core development with AWS. .NET Core Development Design, develop, and maintain high-quality, scalable, and efficient .NET Core applications. Implement best practices for coding and ensure code quality through unit testing and code reviews. Hands-on experience with containerization technologies like Docker and Kubernetes. Knowledge of database technologies like SQL Server, MongoDB, or Cosmos DB. AWS Experience Design and implement serverless solutions using AWS Lambda functions. Strong experience with AWS services, particularly Lambda and Step Functions. Deploy, manage on AWS cloud Optimise application performance and scalability in the cloud environment. Containerization Design and implement containerized applications using Docker and Kubernetes. Ensure proper orchestration and management of containers for high availability and resilience. Experience with serverless architecture and Azure Functions. Angular Development Develop and maintain front-end applications using Angular. Collaborate with UI/UX designers to implement responsive and user-friendly interfaces. Integrate front-end components with back-end services. Leadership and Mentorship Lead and mentor a team of developers, providing technical guidance and support. Conduct code reviews and ensure adherence to best practices and coding standards.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Summary: Qualcomm is seeking a seasoned Staff Engineer, DevOps to join our central software engineering team. In this role, you will lead the design, development, and deployment of scalable cloud-native and hybrid infrastructure solutions, modernize legacy systems, and drive DevOps best practices across products. This is a hands-on architectural role ideal for someone who thrives in a fast-paced, innovation-driven environment and is passionate about building resilient, secure, and efficient platforms. Key Responsibilities: Architect and implement enterprise-grade AWS cloud solutions for Qualcomm’s software platforms. Design and implement CI/CD pipelines using Jenkins, GitHub Actions, and Terraform to enable rapid and reliable software delivery. Develop reusable Terraform modules and automation scripts to support scalable infrastructure provisioning. Drive observability initiatives using Prometheus, Grafana, Fluentd, OpenTelemetry, and Splunk to ensure system reliability and performance. Collaborate with software development teams to embed DevOps practices into the SDLC and ensure seamless deployment and operations. Provide mentorship and technical leadership to junior engineers and cross-functional teams. Manage hybrid environments, including on-prem infrastructure and Kubernetes workloads supporting both Linux and Windows. Lead incident response, root cause analysis, and continuous improvement of SLIs for mission-critical systems. Drive toil reduction and automation using scripting or programming languages such as PowerShell, Bash, Python, or Go. Independently drive and implement DevOps/cloud initiatives in collaboration with key stakeholders. Understand software development designs and compilation/deployment flows for .NET, Angular, and Java-based applications to align infrastructure and CI/CD strategies with application architecture. Required Qualifications: 10+ years of experience in IT or software development, with at least 5 years in cloud architecture and DevOps roles. Strong foundational knowledge of infrastructure components such as networking, servers, operating systems, DNS, Active Directory, and LDAP. Deep expertise in AWS services including EKS, RDS, MSK, CloudFront, S3, and OpenSearch. Hands-on experience with Kubernetes, Docker, containerd, and microservices orchestration. Proficiency in Infrastructure as Code using Terraform and configuration management tools like Ansible and Chef. Experience with observability tools and telemetry pipelines (Grafana, Prometheus, Fluentd, OpenTelemetry, Splunk). Experience with agent-based monitoring tools such as SCOM and Datadog. Solid scripting skills in Python, Bash, and PowerShell. Familiarity with enterprise-grade web services (IIS, Apache, Nginx) and load balancing solutions. Excellent communication and leadership skills with experience mentoring and collaborating across teams. Preferred Qualifications: Experience with api gateway solutions for API security and management. Knowledge on RDBMS, preferably MSSQL/Postgresql is good to have. Proficiency in SRE principles including SLIs, SLOs, SLAs, error budgets, chaos engineering, and toil reduction. Experience in core software development (e.g., Java, .NET). Exposure to Azure cloud and hybrid cloud strategies. Bachelor’s degree in Computer Science or a related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Multiplatform Front End Development React, Java Enterprise Edition, Amazon Web Services (AWS), JavaScript Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your typical day will involve collaborating with the team, making key decisions, and engaging with multiple teams to provide solutions to problems. Key Responsibilities:1 Understanding requirements and involving in design and implementation 2 Collaborate with other peers, having domain expertise to build the right solution that business needs 3 Self-driven and capable of managing multiple priorities under pressure and ambiguity 4 Ability to work effectively in a fast-paced environment 5 Keen eyes for usability, creating intuitive visually appealing experiences 6 UI will be used by consumers to extract the relevant data from Metadata repository Development work in the search space using Elastic search Technical Experience:1 7 plus years' experience developing with ReactJS 2 Resource should be good at Coding. Please conduct Coding Test.3 Strong Fundamental JavaScript skills ES5 and ES6,CSS skills, 4 Experience with TypeScript or ClojureScript is a plus, Thorough understanding of Reactjs and its core principles 5 React combined with Flux/Redux experience is preferred 6 Thorough understanding of Reactjs and its core principles 7 Experience developing component-driven UIs 8 Experience with data structure libraries 9 Knowledgeable in performance optimization techniques.10 Knowledge of AWS services and deployment is an advantage11 State management with Redux Additional Information:- The candidate should have a minimum of 7.5 years of experience in Multiplatform Front End Development React.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful multiplatform front-end solutions.- Ready to work in B shift - 12 PM to 10 PM- Coding test is mandatory for every resource Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have skills : Amazon Web Services (AWS) Good to have skills : Java Full Stack DevelopmentMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years of fulltime education.Role:Technology Architect Project Role Description:Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have Skills :Amazon Web Services (AWS), SSINON SSI:Good to Have Skills :SSI:Java Full Stack Development NON SSI :Job :'',//field Key Responsibilities:1 Experience of designing multiple Cloud-native Application Architectures2 Experience of developing and deploying cloud-native application including serverless environment like Lambda 3 Optimize applications for AWS environment 4 Design, build and configure applications on AWS environment to meet business process and application requirements5 Understanding of security performance and cost optimizations for AWS6 Understanding to AWS Well-Architected best practices Technical Experience:1 8/15 years of experience in the industry with at least 5 years and above in AWS 2 Strong development background with exposure to majority of services in AWS3 AWS Certified Developer professional and/or AWs specialty level certification DevOps /Security 4 Application development skills on AWS platform with either Java SDK, Python SDK, Reactjs5 Strong in coding using any of the programming languages like Python/Nodejs/Java/Net understanding of AWS architectures across containerization microservices and serverless on AWS 6 Preferred knowledge in cost explorer, budgeting and tagging in AWS 7 Experience with DevOps tools including AWS native DevOps tools like CodeDeploy, Professional Attributes:a Ability to harvest solution and promote reusability across implementations b Self Motivated experts who can work under their own direction with right set of design thinking expertise c Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Educational Qualification:15 years of fulltime education. Additional Info:1 Application developers skills on AWS platform with either Java SDK, Python SDK, Nodejs, ReactJS 2 AWS services Lambda, AWS Amplify, AWS App Runner, AWS CodePipeline, AWS Cloud nine, EBS, Faregate,Additional comments:Only Bangalore, No Location Flex and No Level Flex Qualification 15 years of fulltime education.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Amazon Web Services (AWS) Good to have skills : Java Full Stack DevelopmentMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years of fulltime education. Summary :As a Technology Architect, you will be responsible for designing and delivering technology architecture for a platform, product, or engagement. Your role involves defining solutions to meet performance, capability, and scalability needs, ensuring the success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the technology architecture design and implementation.- Ensure alignment of technology solutions with business objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Amazon Web Services (AWS).- Good To Have Skills: Experience with Java Full Stack Development.- Strong understanding of cloud computing principles.- Expertise in designing scalable and secure cloud-based solutions.- Hands-on experience in implementing AWS services and solutions.- Knowledge of infrastructure as code and automation tools. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Amazon Web Services (AWS).- This position is based at our Ahmedabad office.- A 15 years of fulltime education is required. Qualification 15 years of fulltime education.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Multiplatform Front End Development React, Amazon Web Services (AWS), Java Enterprise Edition, JavaScript Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Multiplatform Front End Development React Application Lead, you will be responsible for designing, building, and configuring applications using Amazon Web Services (AWS), Java Enterprise Edition, and JavaScript. Your typical day will involve leading the effort to design, build, and configure applications, acting as the primary point of contact, and collaborating with cross-functional teams to deliver high-quality solutions.Key Responsibilities:1 Understanding requirements and involving in design and implementation 2 Collaborate with other peers, having domain expertise to build the right solution that business needs 3 Self-driven and capable of managing multiple priorities under pressure and ambiguity 4 Ability to work effectively in a fast-paced environment 5 Keen eye for usability, creating intuitive visually appealing experiences 6 UI will be used by consumers to extract the relevant data from Metadata repository Development work in the search space using Elastic search Technical Experience:1 7 plus years' experience developing with ReactJS 2 State management with Redux3 Strong Fundamental JavaScript skills ES5 and ES6,CSS skills, 4 Experience with TypeScript or ClojureScript is a plus, Thorough understanding of Reactjs and its core principles 5 React combined with Flux/Redux experience is preferred 6 Thorough understanding of Reactjs and its core principles 7 Experience developing component-driven UIs 8 Experience with data structure libraries 9 Knowledgeable in performance optimization techniques.10 Knowledge of AWS services and deployment is an advantage Additional Information:- The candidate should have a minimum of 5 years of experience in Multiplatform Front End Development React.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful multiplatform front-end solutions.- Ready to work in B shift - 12 PM to 10 PM Qualification 15 years full time education

About Us CCTech's mission is to transform human life by the democratization of technology. We are a well-established digital transformation company building applications in CAD, CFD, Artificial Intelligence, Machine Learning, 3D Webapps, Augmented Reality, Digital Twin, and other enterprise domains. We have two business divisions: product and consulting. simulationHub is our flagship product and the manifestation of our vision used by thousands for CFD simulation in the design phase. Our consulting division, with partners like Autodesk Forge, AWS, and Azure , supports Fortune 500 engineering organizations in achieving digital excellence. Job Description We are looking for a Senior IAM Engineer to design, implement, and maintain authentication and authorization platforms. You will lead compliance mapping and ensure smooth transitions across environments. Responsibilities Architect and manage PingFederate and Okta-based AuthN/AuthZ solutions. Lead the migration of AuthN/AuthZ flows from Okta to PingFederate. Implement PAT and SSA. Configure and maintain multi-environment IDP instances, manage claim mappings, and secure secrets in vaults. Ensure compliance with FedRAMP controls (FIPS encryption, audit logging). Collaborate with automation and SRE teams to integrate identity flows into CI/CD pipelines and smoke-tests. Develop end-to-end test suites for authentication, authorization, MFA, and token lifecycle scenarios. Create and maintain detailed runbooks, architecture diagrams, and developer onboarding guides. Requirements 10+ years in identity management, IAM engineering, or security engineering roles. Deep expertise with PingFederate, Okta, or similar enterprise IDP platforms. Strong understanding of OAuth2/OIDC, SAML, and token-based authentication. Experience with compliance frameworks such as FedRAMP, SOC2, or PCI-DSS. Proficient in scripting (Python, Bash) for automation and integration tests. Excellent communication, documentation, and stakeholder engagement skills. Preferred Skills Familiarity with AWS Cognito, Azure AD B2C, or similar cloud identity services. Experience with serverless identity integrations (Lambda triggers). Knowledge of directory services and federation protocols. Disaster recovery planning for identity systems. Benefits Work in a fast-paced and collaborative environment. Drive meaningful impact through cutting-edge identity solutions. Join a team passionate about innovation and technology. Be a part of a company shaping the future of digital engineering.

Project Role : Security Delivery Lead Project Role Description : Leads the implementation and delivery of Security Services projects, leveraging our global delivery capability (method, tools, training, assets). Must have skills : Product Security Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Security Architect Enterprise AI Strategy, Scalable ML Platforms, and Secure AI DesignWe are looking for a seasoned and visionary AI Architect with 12+ years of experience in designing, securing, and leading scalable, responsible AI systems. This role blends AI solution architecture with security architecture and is ideal for professionals who bring together deep technical knowledge, strategic thinking, and a passion for trustworthy, ethical innovation.As an AI Architect, you will define the enterprise AI and security architecture, embed secure-by-design practices across AI platforms, and ensure alignment with privacy, compliance, and ethical standards across the entire ML lifecycle Roles & Responsibilities:Own the architectural vision for enterprise-wide AI and ML platforms, ensuring scalability, resilience, security, and regulatory compliance.Develop and maintain architectural blueprints for secure and responsible AI, covering areas such as bias mitigation, explainability, threat modeling, and data protection.Define and implement AI security architecture practices, including secure access to models, datasets, APIs, and ML pipelines.Collaborate with MLOps, engineering, DevSecOps, and cloud security teams to develop standardized, reusable, and secured AI infrastructure components.Ensure AI systems comply with global regulations and standards (e.g., GDPR, ISO 42001, NIST AI RMF, and ISO/IEC 27001).Evaluate and introduce tools and frameworks that support privacy-preserving AI, adversarial robustness, model security, and interpretability.Lead efforts to design and enforce secure AI development workflows, from data ingestion to model deployment and monitoring.Partner with Security Architects and Risk teams to identify and mitigate AI-specific attack surfaces, including adversarial attacks and model poisoning.Conduct risk assessments and threat modeling for AI systems, including LLMs, generative models, and federated learning architectures.Collaborate with internal InfoSec, Privacy, and Legal stakeholders to align AI initiatives with enterprise cybersecurity strategies.Establish monitoring and incident response guidelines for AI workloads, including model drift, data leakage, and compliance alerts.Lead and mentor a multidisciplinary team of AI engineers, ML architects, and AI security specialists.Drive cross-functional initiatives with stakeholders in cloud, legal, compliance, and business domains to ensure holistic AI strategy implementation.Serve as a strategic advisor on AI and ML security topics across various business units and projects.Support the development and enforcement of enterprise-wide AI security and governance policies.Lead architecture review boards focused on AI and ensure consistent application of best practices across AI platforms. Professional & Technical Skills: Strong experience designing and deploying secure, large-scale ML systems in cloud and hybrid environments.Deep understanding of secure development practices, identity and access management (IAM) for ML workloads, model versioning, and auditability.Familiarity with:oCloud-native security tools (AWS IAM, KMS, GCP Workload Identity, Azure Key Vault)oAI attack mitigation (e.g., adversarial training, input sanitization, model watermarking)oSecure MLOps and CI/CD for AIoTools for model explainability (SHAP, LIME), monitoring (Prometheus, Grafana), and compliance tracking.Experience with data privacy, encryption techniques (at rest/in transit/in use), and secure federated learning is a plus.Proven leadership in AI security architecture and secure ML engineering practices.Exceptional stakeholder communication and ability to advocate for responsible AI across technical and executive teams.Strategic mindset with an ability to balance innovation with risk mitigation.Strong documentation, risk assessment, and audit reporting skills in security-centric environments.Proven success in building and securing AI platforms with strong focus on privacy, ethical AI, and regulatory compliance.- Additional Information:Bachelors or Masters degree in Computer Science, Artificial Intelligence, Information Security, or related field.Industry certifications preferred:Cloud AI (e.g., AWS Certified Machine Learning Specialty, GCP ML Engineer)Security (e.g., CISSP, CCSP, Certified AI Security Professional, TOGAF)- 12+ years of experience in AI/ML solution architecture with 4+ years focused on AI security, governance, or compliance.- This position is based at our Bengaluru office- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : AWS Architecture Good to have skills : AWS Elastic Beanstalk, AWS Lambda Administration, Infrastructure As Code (IaC)Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application design and development process- Coordinate with stakeholders to gather requirements- Ensure timely project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Architecture, AWS Elastic Beanstalk, AWS Lambda Administration, Infrastructure As Code (IaC)- Strong understanding of cloud computing principles- Experience in designing scalable and secure AWS solutions- Knowledge of AWS services and best practices- Hands-on experience in implementing AWS architectures Additional Information:- The candidate should have a minimum of 7.5 years of experience in AWS Architecture- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education