133 Containerization Technologies Jobs - Page 4

You will have the opportunity to join Team Amex, a global and diverse community aiming to support customers, communities, and colleagues. American Express values recognition of contributions and leadership, ensuring that every colleague can share in the company's success. As part of Team Amex, you will work collaboratively to provide the world's best customer experience every day with integrity and inclusivity. As a Site Reliability Engineering (SRE) Leader at American Express, your key responsibilities will include developing and implementing a comprehensive SRE strategy aligned with company goals. You will lead a team of SRE professionals to enhance the reliability, performance, and scalability of GRC technology solutions. Establishing observability practices for real-time insights, monitoring system performance, and driving continuous improvement initiatives will be crucial aspects of your role. You will collaborate with cross-functional teams to enhance customer journeys through seamless technology experiences and promote reliability engineering best practices within the technology landscape. Automation initiatives to streamline operational workflows, deployment processes, and incident response tasks will be championed to improve reliability and reduce manual interventions. To qualify for this role, you should have 8+ years of experience in Computer Science, Information Technology, or related fields. Advanced certifications in SRE or related areas are beneficial. Deep understanding of observability tools, methodologies, and strong leadership and people management skills are essential for success in this position. Preferred skills for this role include hands-on coding and system design experience, familiarity with modern observability stacks and cloud-based SRE practices. Furthermore, expertise in driving culture change, DevOps practices, and continuous improvement in SRE and production support functions will be advantageous. Join the innovative team at American Express to lead advancements in Site Reliability Engineering and production support in the Global Risk and Compliance Technology sector. If you are passionate about driving reliability, observability, and excellence in customer experiences, apply now to redefine the future of risk and compliance technology. American Express offers competitive base salaries, bonus incentives, and comprehensive benefits to support your holistic well-being and career development opportunities. Take the opportunity to shape the reliability and performance of GRC solutions for a secure and compliant world with American Express. Apply now and be a part of a team that prioritizes the well-being of its colleagues and their loved ones through various benefits and programs.,

As an AI/ML Manager at a high-end start-up AI Strategy and Consulting company in Mumbai/Bengaluru, you will lead and mentor a team of AI/ML consultants. Your main responsibilities will include driving the design, development, and implementation of AI copilots to enhance organizational efficiency. You will be involved in data pre-processing, feature engineering, model training, and optimizing machine learning algorithms. Furthermore, you will integrate AI copilots into existing systems, analyze data to provide insights, and collaborate with cross-functional teams to address business requirements. Working closely with clients, you will tailor solutions to their specific needs, offer technical guidance, and support the project lifecycle. Your role will also involve driving continuous improvement initiatives, identifying areas for optimization and innovation to maximize client value. To excel in this role, you should have at least 4 years of experience in consulting, project management, or related roles, with a focus on healthcare and/or CPG industries. Experience in natural language processing (NLP) and/or computer vision (CV) would be advantageous. Additionally, knowledge of containerization technologies, microservices architecture, and DevOps practices for continuous integration and deployment is preferred. You are expected to have a deep understanding of data analytics, data strategy, and digital transformation methodologies, with practical experience in implementing data-driven solutions. Familiarity with AI technologies, machine learning algorithms, and NLP techniques is essential. If you have contributed to open-source projects or publications in relevant conferences/journals, it would be a plus. As part of the selection process, you will undergo 2 technical assessments followed by an HR discussion. Your expertise, best practices, and mentoring skills will contribute to the growth and development of the organization. Join us in reimagining workflows, modernizing data infrastructure, and delivering tailor-made AI solutions to our clients.,

As a Principal Site Reliability Engineer at UKG, you play a crucial role in enhancing and supporting service delivery processes through developing software solutions. Your responsibilities include building and managing CI/CD deployment pipelines, automated testing, capacity planning, performance analysis, monitoring, alerting, chaos engineering, and auto remediation. It is essential to stay updated with current technology trends, innovate, and ensure a flawless customer experience by deploying services efficiently and consistently. Your primary duties involve engaging in the lifecycle of services, defining and implementing standards, supporting product and engineering teams, improving system performance, collaborating with professionals, guiding junior team members, and actively participating in incident response. You will also contribute to increasing operational efficiency, effectiveness, and service quality by treating operational challenges as software engineering problems. To be successful in this role, you should have an engineering degree or a related technical discipline, along with at least 7 years of hands-on experience in Engineering or Cloud. Additionally, a minimum of 5 years" experience with public cloud platforms, 3 years" experience in configuration and maintenance of applications/systems infrastructure, and knowledge of coding in higher-level languages are required. Familiarity with Cloud-based applications, Containerization Technologies, industry standards like Terraform, Ansible, and fundamentals in Computer Science, Cloud Architecture, Security, or Network Design is also essential. UKG is a dynamic organization at the forefront of workforce management and human capital management solutions. As we continue to grow and innovate, we are committed to fostering diversity and promoting inclusion in the workplace. If you require any disability accommodations during the application and interview process, please reach out to UKGCareers@ukg.com. Join us on this exciting journey towards a brighter tomorrow!,

As a Python + Angular Developer, you will be responsible for developing scalable and maintainable applications using Python and Angular technologies. With a strong background in backend development, you will design, deploy, and maintain microservices-based architectures while ensuring adherence to DevOps practices. Your key responsibilities will include: - Demonstrating expertise in Python and/or Java with a focus on building scalable applications. - Utilizing your hands-on experience in Angular to develop modern, responsive web applications. - Designing and deploying microservices architectures while understanding CI/CD pipelines and automation tools. - Investigating and resolving complex technical issues efficiently. - Demonstrating adaptability by learning and applying new technologies in a fast-paced environment. - Utilizing your knowledge of cloud platforms such as GCP, Azure, or AWS for application development. - Working with container technologies like Kubernetes and Docker for application deployment and orchestration. To qualify for this role, you should possess: - A Bachelor's degree in an IT-related discipline. - Strong computer literacy and a willingness to undergo multidisciplinary training. - 5-8 years of seniority in a similar role with a hands-on approach. - Strong software engineering skills and interest in troubleshooting large-scale distributed systems. - Excellent problem-solving abilities and communication skills along with a sense of ownership and drive. - Ability to debug and optimize code, automate routine tasks, and familiarity with data integration platforms like Dataiku or industrial data platforms like Cognite. In addition, you should exhibit the following behaviors: - Foster and maintain positive relationships with internal, client, and third-party stakeholders. - Show initiative, adaptability, and a willingness to learn new technologies. - Work effectively under pressure, communicate well, and practice effective listening techniques. - Work independently or as part of a team while effectively analyzing and solving problems with attention to detail.,

As a Lead Cloud Engineer at our organization, you will be responsible for designing and building cloud-based distributed systems to address complex business challenges for some of the world's largest companies. Leveraging your expertise in software engineering, cloud engineering, and DevOps, you will craft technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Working as part of a diverse and globally distributed engineering team, you will actively engage in the complete engineering life cycle, encompassing the design, development, optimization, and deployment of solutions and infrastructure at a scale that matches the world's leading companies. Your core responsibilities will include: - Architecting cloud solutions and distributed systems for full-stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) for cloud-based solutions, covering areas such as CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and implementing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud, and Azure - Collaborating with diverse teams, including product managers, data scientists, and other engineers, to deliver analytics and AI features that align with business requirements and user needs - Utilizing Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in the cloud, ensuring optimal performance and availability - Developing and maintaining APIs and microservices to expose analytics functionality to internal and external consumers while adhering to best practices for API design and documentation - Implementing robust security measures to safeguard sensitive data and ensure compliance with data privacy regulations and organizational policies - Monitoring and troubleshooting application performance continuously to identify and resolve issues affecting system reliability, latency, and user experience - Participating in code reviews and contributing to the establishment and enforcement of coding standards and best practices to uphold the quality and maintainability of the codebase - Staying abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering to identify opportunities for enhancing the analytics platform's capabilities - Collaborating closely with business consulting staff and leaders to assess opportunities and develop analytics solutions for clients across various sectors To excel in this role, you should possess the following qualifications: - A Master's degree in Computer Science, Engineering, or a related technical field - At least 6 years of experience, with a minimum of 3 years at the Staff level or equivalent - Proven experience as a cloud engineer and software engineer in product engineering or professional services organizations - Experience in designing and delivering cloud-based distributed solutions, with certifications in GCP, AWS, or Azure considered advantageous - Proficiency in building infrastructure as code using tools such as Terraform (preferred), Cloud Formation, Pulumi, AWS CDK, or CDKTF - Familiarity with software development lifecycle nuances - Experience with configuration management tools like Ansible, Salt, Puppet, or Chef - Proficiency in monitoring and analytics platforms such as Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, or Nagios/Icinga - Expertise in CI/CD deployment pipelines (e.g., Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI) - Hands-on experience in building backend APIs, services, and integrations using Python - Practical experience with Kubernetes through services like GKE, EKS, or AKS considered a plus - Ability to collaborate effectively with internal and client teams and stakeholders - Proficiency in using Git for versioning and collaboration - Exposure to LLMs, Prompt engineering, Langchain considered advantageous - Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or others - Proficiency in implementing large-scale structured or unstructured databases, orchestration, and container technologies like Docker or Kubernetes - Strong interpersonal and communication skills to articulate and discuss complex engineering concepts with colleagues and clients from diverse disciplines - Display curiosity, proactivity, and critical thinking in problem-solving - Solid foundation in computer science principles related to data structures, algorithms, automated testing, object-oriented programming, performance complexity, and the impact of computer architecture on software performance - Knowledge of designing API interfaces and data architecture, database schema design, and database scalability - Familiarity with Agile development methodologies If you are seeking a dynamic and challenging opportunity to contribute to cutting-edge projects and collaborate with a diverse team of experts, we invite you to join us at Bain & Company. As a global consultancy dedicated to partnering with change makers worldwide, we are committed to achieving extraordinary results, outperforming the competition, and reshaping industries. With a focus on delivering tailored, integrated solutions and leveraging a network of digital innovators, we strive to drive superior outcomes that endure. Our ongoing investment in pro bono services underscores our dedication to supporting organizations addressing pressing issues in education, racial equity, social justice, economic development, and the environment. Recognized with a platinum rating from EcoVadis, we are positioned in the top 1% of all companies for our environmental, social, and ethical performance. Since our inception in 1973, we measure our success by the success of our clients and maintain the highest level of client advocacy in the industry.,

We are looking for a talented and experienced DevOps Engineer to join our dynamic IT services team. As a DevOps Engineer, you will be responsible for automating and streamlining our software development and deployment processes using AWS cloud technology. Your role will involve collaborating with development, testing, and operations teams to ensure efficient and reliable delivery of our products and services. Your responsibilities will include: - Infrastructure Automation: Building and maintaining automated infrastructure provisioning and management using AWS services such as EC2, S3, VPC, CloudFormation, and Terraform. - Continuous Integration/Continuous Delivery (CI/CD): Implementing and managing CI/CD pipelines with tools like Jenkins, GitLab CI/CD, or AWS CodePipeline to automate the build, test, and deployment process. - Configuration Management: Implementing and maintaining configuration management solutions like Ansible, Chef, or Puppet to ensure consistent and reproducible environments. - Monitoring and Logging: Setting up and maintaining monitoring and logging tools like CloudWatch, Datadog, and New Relic to track application and infrastructure performance. - Troubleshooting and Support: Diagnosing and resolving issues related to infrastructure, application deployment, and performance. - Collaboration: Working closely with development, testing, and operations teams to ensure smooth collaboration and efficient delivery. - Security: Implementing security best practices and adhering to compliance requirements. Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience in DevOps or a related field. - Strong proficiency in AWS services (EC2, S3, VPC, CloudFormation, Lambda, etc.). - Experience with CI/CD pipelines and tools (Jenkins, GitLab CI/CD, AWS CodePipeline). - Experience with configuration management tools (Ansible, Chef, Puppet). - Knowledge of scripting languages (Python, Bash). - Understanding of networking, security, and virtualization concepts. - Experience with containerization technologies (Docker, Kubernetes). - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills. Preferred Qualifications: - AWS Certified DevOps Engineer - Professional. - Experience with cloud-native applications and microservices architecture. - Knowledge of DevOps methodologies and practices. - Experience with serverless computing and AWS Lambda. - Experience with monitoring and logging tools (CloudWatch, Datadog, New Relic). If you are a passionate DevOps Engineer with a strong understanding of AWS and a commitment to delivering high-quality software, we encourage you to apply. This is a full-time position with benefits including Provident Fund. The work schedule is Monday to Friday, and the work location is in person.,

The Senior Backend Subject Matter Expert (SME) position at Deutsche Bank in Pune/Bangalore is a key role in the ambitious sustainability initiatives undertaken by the bank. The bank aims to invest in developing a Sustainability Technology Platform, Sustainability data products, and various sustainability applications to support its goals. As part of this global initiative, the bank is assembling a team of passionate technologists who are dedicated to addressing Climate Change challenges through technology solutions, particularly in Cloud/Hybrid Architecture. As a Senior Full Stack SME, you will play a crucial role in providing technical leadership and guidance to ensure project success in JAVA Backend development. Your responsibilities will include designing APIs for an API-first platform, working with hybrid cloud architecture, and providing solutions that leverage Google Cloud Platform (GCP). You will also be involved in code reviews, mentoring teams, and staying updated with emerging trends in GCP services and application development frameworks. In addition to technical responsibilities, you will collaborate with business stakeholders to translate requirements into technical solutions, develop a technology roadmap aligning with business goals, and analyze the feasibility of migrating on-premise systems to GCP. Mentorship, collaboration, problem-solving, and innovation are key aspects of the role, along with troubleshooting technical issues, recommending improvements, and exploring innovative solutions using GCP services. To qualify for this position, you should have at least 12 years of experience in full-stack software development, with a proven track record of successful software projects using GCP and on-premise environments. Proficiency in containerization technologies, excellent communication skills, and the ability to think strategically are essential. Knowledge of Microservices, Spring Cloud, Spring Security, Concurrency, Event Driven Architecture, and other specified technologies/frameworks is required. Experience in Sustainable Finance/ESG Risk/CSRD/Regulatory Reporting, infrastructure automation, and DevOps principles on GCP will be advantageous. Deutsche Bank offers a range of benefits including best-in-class leave policy, parental leaves, education sponsorships, insurance coverage, and health screening. Training, coaching, and a culture of continuous learning are provided to support your career growth and development. If you are a passionate technologist with a strong background in full-stack development and a desire to contribute to sustainable finance initiatives, this role offers an exciting opportunity to make a difference and drive innovation within a global team at Deutsche Bank.,

This position is pivotal in identifying and incubating cutting-edge AI technologies that align with the strategic goals of the company, enhancing the capabilities in data-driven decision-making and is crucial in defining and promoting best practices in AI model development and deployment. As an AI Engineer, you will ensure seamless integration of innovative AI solutions into existing frameworks, making sure they are scalable, reliable, and tailored to meet the unique demands of the pharmaceutical industry. Your contributions will be instrumental in advancing healthcare through technology, ultimately improving patient outcomes and driving business success. You will be responsible for understanding complex and critical business problems, formulating an integrated analytical approach to mine data sources, employing statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discovering actionable insights, and automating processes for reducing effort and time for repeated use. Your role will involve architecting and developing end-to-end AI/ML and Gen AI solutions, focusing on scalability, performance, and modularity while ensuring alignment and best practices with enterprise architecture standards. Additionally, you will manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement. This will enable the availability of useful, clean, and accurate data throughout its useful lifecycle. Your high agility will allow you to work across various business domains, integrating business presentations, smart visualization tools, and contextual storytelling to translate findings back to business users with a clear impact. You will also independently manage the budget, ensuring appropriate staffing and coordinating projects within the area while collaborating with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives. The ideal candidate for this role will have an advanced degree in Computer Science, Engineering, or a related field (PhD preferred) and at least 8 years of experience in AI/ML engineering, with a focus on designing and deploying LLM-based solutions for a minimum of 2 years. Strong proficiency in building AI/ML architectures and deploying models at scale, experience in cloud computing platforms such as AWS, Google Cloud, or Azure, deep knowledge of LLMs, containerization technologies (Docker, Kubernetes), CI/CD pipelines, and hands-on experience with cloud platforms and MLOps tools for scalable deployment are essential requirements. Additionally, experience with API development, integration, model deployment pipelines, strong problem-solving skills, proactive approach to challenges, effective communication in cross-functional teams, and excellent organizational skills with attention to detail in managing complex systems are necessary for this role. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served. If you require accommodations due to a medical condition or disability, please reach out to diversityandincl.india@novartis.com. This role at Novartis offers the opportunity to be part of a community of smart, passionate individuals dedicated to creating breakthroughs that change patients" lives. If you are ready to contribute to a brighter future, visit https://www.novartis.com/about/strategy/people-and-culture to learn more about Novartis and its commitment to diversity and inclusion.,

As the leader of the devops and system administration team at Kensaltensi powered by Alkimi, you will play a crucial role in ensuring the efficient and reliable operation of our technical infrastructure. Your responsibilities will include providing architectural guidance, managing security vulnerabilities, building and leading a team of experts, and overseeing the deployment and maintenance of cloud infrastructure. You will be accountable for the uptime and reliability of all production infrastructure, as well as ensuring cost-effectiveness and optimal configurations. Your role will involve working closely with engineering teams to deliver platform services that are robust, secure, and scalable. You will be expected to have a deep understanding and experience in software development, infrastructure as code (IaC), system administration, and continuous integration. Proficiency in CI/CD tools, relational and NO-SQL databases, containerization technologies, and cloud platforms such as AWS, Digital Ocean, Azure, or GCP is essential. Additionally, strong communication and collaboration skills are key to effectively working across teams and providing troubleshooting support for production issues. In this role, you will have the opportunity to shape the technical architecture of our products, ensure business continuity through disaster recovery planning, and maintain the security and protection of the company's data and databases. Your expertise and leadership will be instrumental in creating a high-performing DevOps department that delivers services with high reliability and quick turn-around time. If you are passionate about infrastructure management, security, and innovation, and possess the necessary skills and experience, we invite you to join our team and contribute to our mission of restoring the value exchange in the advertising industry.,

As a Senior .NET/GCP Engineer at NTT DATA, you will be part of a team dedicated to delivering high-quality software solutions for our clients. Your primary focus will be on .NET C# development, where you will play a crucial role in the full systems life cycle management process, from analyzing technical requirements to designing, coding, testing, and implementing software applications. Joining our Microsoft practice not only offers you a job but also provides you with ample opportunities for career growth. We are committed to equipping you with the necessary skills to develop robust applications that meet the highest standards. Whether it involves training in a new programming language or obtaining certifications in cutting-edge technologies, we will support your professional development to ensure you consistently deliver exceptional work. In this role, you will collaborate with cross-functional teams, contribute to component and data architecture design, engage in technology planning, and participate in testing activities for Applications Development (AD) initiatives. Your insights and expertise will inform applications development project plans and integrations, as well as support the adoption of emerging technologies to enhance communication and achieve project objectives effectively. Basic Qualifications: - 6+ years of experience in .Net/.Net Core development - Proficiency in Object-Oriented Programming and SOLID Principles with at least 3 years of experience - Hands-on experience in Rest API development for a minimum of 3 years - 2+ years of practical exposure to Google Cloud Platform (GCP) including pub sub, cloud functions, etc. - Familiarity with database operations and writing stored procedures for at least 2 years - Experience in unit and service testing using frameworks like xunit, Nunit, etc. for a minimum of 2 years - 1+ year of experience working on cloud platforms such as AWS, Azure, or GCP Preferred Qualifications: - Proficiency with CI/CD tooling such as Jenkins, Azure DevOps, etc. - Knowledge of containerization technologies like Docker, Kubernetes Ideal Mindset: - Lifelong Learner: Continuously seeking opportunities to enhance both technical and non-technical skills - Team Player: Committed to supporting team success and willing to assist teammates when needed - Communicator: Capable of effectively conveying design concepts to technical and non-technical stakeholders, prioritizing essential information while eliminating unnecessary details Please note Shift Timing Requirement: 1:30 pm IST - 10:30 pm IST Join us at NTT DATA, a trusted global innovator with a mission to help clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we offer a diverse pool of experts across 50+ countries and a strong partner ecosystem. Our services span business and technology consulting, data and artificial intelligence, industry-specific solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. With a significant focus on digital and AI infrastructure, we are at the forefront of driving organizations confidently into the digital future.NTT DATA is part of the NTT Group, investing over $3.6 billion annually in R&D to support sustainable digital transformation for organizations and society. Explore more at us.nttdata.com.,

NTT DATA is looking for an exceptional Senior .NET Integration Engineer to join their team in Chennai, Tamil Nadu, India. As a Senior Integration Engineer, you will primarily focus on .NET C# development and work with a team dedicated to delivering high-quality software for clients. In this role, you will be involved in the full systems life cycle management activities, including analyzing technical requirements, design, coding, testing, and implementing systems and applications software. Additionally, you will participate in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. Collaboration with teams and support for emerging technologies will be essential to ensure effective communication and the achievement of objectives. Basic qualifications for this position include at least 6 years of experience in developing in .Net/.Net Core, 3+ years of experience with Object-Oriented Programming and SOLID Principles, 3+ years of Rest API development, 2+ years of experience working with Databases and writing stored procedures, 2+ years of unit and service testing with frameworks such as xunit, Nunit, etc., and 1+ year of cloud platform experience in AWS, Azure, or GCP. Preferred qualifications include experience with CI/CD tooling such as Jenkins, Azure DevOps, etc., experience with containerization technologies like Docker, Kubernetes, and GCP experience. The ideal candidate for this role is a lifelong learner who is constantly seeking to improve technical and non-technical skills, a team player who is willing to go the extra mile to help teammates succeed, and a strong communicator capable of effectively conveying design ideas to both technical and non-technical stakeholders. Please note that the shift timing requirement for this position is from 1:30 pm IST to 10:30 pm IST. If you are looking for an opportunity to grow your career and work with cutting-edge technologies, apply now to join the NTT DATA team in Chennai, Tamil Nadu, India.,

As a skilled Python Backend Engineer at Cognio Labs, you will be responsible for leveraging your expertise in FastAPI and your strong foundation in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies. Your role will involve a blend of backend development and data science to facilitate data processing for model fine-tuning and training. You should have a minimum of 2 years of experience in Python backend development and possess the ability to develop and maintain APIs using the FastAPI framework. Proficiency in asynchronous programming, background task implementation, and database management using both SQL and NoSQL databases, especially MongoDB, are essential. Additionally, familiarity with Git version control systems and RESTful API design and implementation is required. Experience with containerization technologies like Docker, understanding of component-based architecture principles, and the capability to write clean, maintainable, and testable code are valuable additional technical skills. Knowledge of testing frameworks, quality assurance practices, and AI technologies such as LangChain, ChatGPT endpoints, and other LLM frameworks will be advantageous. In the realm of AI and Data Science, your experience with LLMs and RAG implementation will be highly valued. You should be adept at data processing for fine-tuning language models, manipulating and analyzing data using Python libraries such as Pandas and NumPy, and implementing machine learning workflows efficiently. Your key responsibilities will include designing, developing, and maintaining robust, scalable APIs using the FastAPI framework, preparing data for model fine-tuning and training, implementing background tasks and asynchronous processing for system optimization, integrating LLM and RAG-based solutions into the product ecosystem, and following industry best practices to write efficient, maintainable code. Collaboration with team members, database design and implementation, troubleshooting and debugging codebase issues, as well as staying updated on emerging technologies in Python development, LLMs, and data science will be integral parts of your role at Cognio Labs.,

NTT DATA is looking to hire a Senior .NET Developer to join their team in Chennai, Tamil Ndu, India. As a Senior Application Developer specializing in .NET C# development, you will be responsible for delivering quality software for clients. Joining the Microsoft practice at NTT DATA is not just a job but an opportunity to grow your career. You will receive training on new programming languages and technologies to enhance your skills and deliver valuable work. In this role, you will provide input and support for full systems life cycle management activities, including analyses, technical requirements, design, coding, testing, and implementation of systems and applications software. You will participate in component and data architecture design, technology planning, and testing for Applications Development initiatives to meet business requirements. Collaboration with teams and support for emerging technologies will be essential to ensure effective communication and achievement of objectives. Basic qualifications for this position include: - 6+ years of experience developing in .Net/.Net Core - 3+ years of experience with Object-Oriented Programming and SOLID Principles - 3+ years of Rest API development - 2+ years of experience working with databases and writing stored procedures - 2+ years of unit and service testing with frameworks such as xunit, Nunit, etc. - 1+ year of cloud platform experience in AWS, Azure, or GCP Preferred qualifications include experience with CI/CD tooling, containerization technologies, and GCP. The ideal candidate for this role is a lifelong learner, a team player, and an effective communicator. Please note that the shift timing requirement for this position is from 1:30 pm IST to 10:30 pm IST. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. They are committed to helping clients innovate, optimize, and transform for long-term success. With diverse experts in more than 50 countries and a robust partner ecosystem, NTT DATA offers business and technology consulting, data and artificial intelligence services, industry solutions, and application, infrastructure, and connectivity management. As a leading provider of digital and AI infrastructure, NTT DATA is part of the NTT Group, investing over $3.6 billion annually in R&D to support organizations and society in transitioning confidently into the digital future. You can learn more about NTT DATA at us.nttdata.com.,

The SOA Lead Engineer will be responsible for leading the design, development, and implementation of microservices using Golang within the SOA platform. You will be expected to promote a culture of code quality, clean architecture, and test-driven development among team members. Additionally, accurate and thorough documentation of processes to contribute to a knowledge repository will be a key aspect of your role. Collaboration with architects, developers, and stakeholders to define and refine the SOA strategy and roadmap will also be essential. Required Skills: - Strong proficiency in any backend programming language. - Proficiency in designing and implementing DB Schemas. - Experience in designing, developing, and implementing SOA-based solutions. - In-depth understanding of API design principles and best practices. - Exceptional problem-solving and analytical skills. Preferred Skills: - Experience with programming languages such as Golang (Preferred), PHP, Java, Node.js. - Familiarity with containerization technologies like Docker and Kubernetes. - Knowledge of message brokers such as RabbitMQ, Kafka, etc. - Expertise in cloud platforms like AWS, Azure, or Google Cloud. - Familiarity with logging and monitoring tools like Prometheus or Grafana. - Understanding of CI/CD pipelines for SOA platform deployments. Qualification: - Full-time B.Tech (CS/IT) only. Experience: - 5-7 years of relevant experience.,

As an AI Architect at our organization, you will play a crucial role in defining and implementing the end-to-end architecture for deploying our machine learning models, including advanced Generative AI and LLM solutions, into production. Your responsibilities will include leading and mentoring a cross-functional team of Data Scientists, Backend Developers, and DevOps Engineers to foster a culture of innovation, technical excellence, and operational efficiency. In terms of Architectural Leadership, you will design, develop, and own the scalable, secure, and reliable architecture for deploying and serving ML models with a focus on real-time inference and high availability. You will also lead the strategy and implementation of the in-house API wrapper infrastructure and define architectural patterns, best practices, and governance for MLOps. Evaluating and selecting the optimal technology stack for our ML serving infrastructure will also be a key part of your role. Regarding Team Leadership & Mentorship, you will lead, mentor, and inspire the diverse team, guiding them through complex architectural decisions and technical challenges. Your goal will be to foster a collaborative environment that encourages knowledge sharing, continuous learning, and innovation across teams while driving technical excellence and adherence to engineering best practices. Your expertise in Generative AI & LLM will be essential as you architect and implement solutions for deploying Large Language Models, drive the adoption of techniques like Retrieval Augmented Generation, and stay updated on the latest advancements in AI to evaluate their applicability to our business needs. Collaborating closely with Data Scientists, Backend Developers, and DevOps Engineers will be crucial to integrate models seamlessly into the serving infrastructure, build robust APIs, and ensure operational excellence of the AI infrastructure. Effective communication of complex technical concepts to both technical and non-technical stakeholders will also be a part of your responsibilities. In terms of qualifications, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field, along with 10+ years of software engineering experience and proven experience in leading cross-functional engineering teams. Your technical skills should include expertise in MLOps principles, Python proficiency, containerization technologies, cloud platforms, Large Language Models, and monitoring tools. Leadership qualities such as exceptional mentorship and team-building abilities, strong analytical and problem-solving skills, excellent communication skills, and a strategic mindset will be highly valued in this role. Bonus points will be awarded for experience with specific ML serving frameworks, contributions to open-source projects, and familiarity with data governance and compliance in an AI context.,

You will be part of our expanding Technology team at ShyftLabs, where we are seeking an AI Engineer to develop and implement AI-powered applications at scale. As a pragmatic problem solver with strong backend engineering skills, you will apply AI concepts and frameworks to design, develop, and optimize solutions that address complex business challenges for our clients. ShyftLabs is a leading data and AI company specializing in data platforms, machine learning models, and AI-powered automation. We provide consulting, prototyping, solution delivery, and platform scaling services to Fortune 500 clients, helping them transform their data into actionable insights. Your responsibilities will include researching, designing, and developing AI-powered applications, integrating AI models into scalable production environments, collaborating with cross-functional teams, optimizing AI implementations for performance and cost efficiency, ensuring AI systems meet quality standards, and staying updated with the latest AI tools and frameworks for proposing innovative solutions. Documenting technical processes and implementations will also be crucial for knowledge sharing within the team. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field, with a strong software engineering background and at least 3 years of experience building applications at scale. You must have proven experience in implementing and deploying AI solutions in production environments, proficiency in programming languages like Python, JavaScript, or Java, familiarity with modern AI frameworks and tools, understanding of software design patterns, API development, and system architecture, knowledge of containerization technologies and cloud platforms for AI development, strong problem-solving skills, and the ability to translate business requirements into technical solutions. At ShyftLabs, we offer a competitive salary and a comprehensive insurance package. We are committed to the growth of our employees and provide extensive learning and development resources to support their professional development.,

As a DevOps Architect at our Coimbatore onsite location, with over 7 years of experience, you will play a crucial role in designing, implementing, and optimizing scalable and reliable DevOps processes for continuous integration, continuous deployment (CI/CD), and infrastructure as code (IaC). You will lead the architecture and implementation of cloud-based infrastructure solutions using AWS, Azure, or GCP based on project requirements. Collaboration with software development teams to ensure smooth integration of development, testing, and production environments will be a key responsibility. Your role will involve implementing and managing automation, monitoring, and alerting tools across development and production environments such as Jenkins, GitLab CI, Ansible, Terraform, Docker, and Kubernetes. Additionally, you will oversee version control, release pipelines, and deployment processes for various applications while designing and implementing infrastructure monitoring solutions to maintain high availability and performance of systems. A significant aspect of your role will involve fostering a culture of continuous improvement by closely working with development and operations teams to enhance automation, testing, and release pipelines. You will ensure that security best practices are followed in the development and deployment pipeline, including secret management and vulnerability scanning. Efforts to address performance bottlenecks, scaling challenges, and infrastructure optimization will be led by you, along with mentoring and guiding junior engineers in the DevOps space. To excel in this role, you are required to have a Bachelor's degree in computer science, Information Technology, or related field, or equivalent work experience, along with a minimum of 7 years of experience in DevOps, cloud infrastructure, and automation tools. Proficiency in cloud platforms such as AWS, Azure, GCP, containerization technologies like Docker and Kubernetes, orchestration tools, automation tools like Jenkins, Ansible, Chef, Puppet, Terraform, scripting languages (Bash, Python, Go), version control systems (Git, SVN), and monitoring and logging tools is essential. Strong troubleshooting skills, communication, leadership abilities, and understanding of Agile and Scrum methodologies are also vital for this role. Preferred qualifications include certifications in DevOps tools, cloud technologies, or Kubernetes, experience with serverless architecture, familiarity with security best practices in a DevOps environment, and knowledge of database management and backup strategies. If you are passionate about your career and possess the required skills and experience, we invite you to be a part of our rapidly growing team. Reach out to us at careers@hashagile.com to explore exciting opportunities with us.,

As an MLOps Engineer at our Bangalore location, you will play a pivotal role in designing, developing, and maintaining robust MLOps pipelines for generative AI models on AWS. With a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, you should have at least 2 years of proven experience in building and managing MLOps pipelines, preferably in a cloud environment like AWS. Your responsibilities will include implementing CI/CD pipelines to automate model training, testing, and deployment workflows. You should have a strong grasp of containerization technologies such as Docker, container orchestration platforms, and AWS services like SageMaker, Bedrock, EC2, S3, Lambda, and CloudWatch. Practical knowledge of CI/CD principles and tools, along with experience working with large language models, will be essential for success in this role. Additionally, your role will involve driving technical discussions, explaining options to both technical and non-technical audiences, and ensuring software product cost monitoring and optimization. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, familiarity with generative AI models, and experience with infrastructure-as-code tools like Terraform or CloudFormation will be advantageous. Moreover, knowledge of model monitoring and explainability techniques, various data storage and processing technologies, and experience with other cloud platforms like GCP will further enhance your capabilities. Any contributions to open-source projects related to MLOps or machine learning will be a valuable asset. At CGI, we believe in ownership, teamwork, respect, and belonging. Your work as an MLOps Engineer will focus on turning meaningful insights into action, with opportunities to develop innovative solutions, build relationships with teammates and clients, and access global capabilities to scale your ideas. Join us in shaping your career at one of the largest IT and business consulting services firms globally.,

About Aeris Communication: With over three decades of experience, Aeris has established itself as a leading provider of cellular IoT solutions, catering to a wide range of industries including Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Serving a vast global network of 7,000 enterprise customers and 30 mobile network operator partners, Aeris currently powers 90 million IoT devices worldwide. Through innovative technologies and seamless connectivity, Aeris plays a pivotal role in shaping the connected smart world, offering solutions that simplify management, enhance security, optimize performance, and drive growth. Aeris IoT serves as the IoT SaaS platform for mobile operators and enterprises operating in the Internet of Things (IoT) sector. Leveraging cloud computing and intelligence such as AI and ML, the platform empowers operators and enterprises to explore new revenue streams from a diverse array of devices while streamlining the connectivity process and reducing costs to capitalize on economies of scale. As a trusted supplier to major automotive OEMs like Volkswagen and Mitsubishi, Aeris has introduced groundbreaking solutions like the Aeris Mobility Suite, revolutionizing vehicle connectivity throughout the entire lifecycle and transforming business dynamics. The company's success has led to an expansion of its Aeris Connected Car footprint and roadmap, catering to current-generation connected vehicles and the upcoming Software Defined Vehicles (SDV). In line with this growth, Aeris is in search of a talented Software Architect to join its team and contribute to its AI strategy. Joining Aeris offers access to a community of industry experts, providing an opportunity to contribute to the growth and success of a dynamic company that values innovation, autonomy, and integrity. This position holds significant importance in shaping the company's AI strategy and contributing to its continued success. At Aeris, several key principles guide our work culture: - Customer-Centric Approach: Prioritizing the needs and satisfaction of our customers in all decision-making processes. - Innovation and Adaptability: Embracing a pioneering spirit in a rapidly evolving industry to outperform competitors and drive progress. - Integrity and Ethics: Upholding high standards of integrity in all aspects of our operations, from internal management practices to social impact initiatives. - Ownership and Empowerment: Encouraging employees to take ownership of their work and empowering them to find creative solutions to challenges. Aeris is currently seeking an experienced Software Release Manager to join its team. In this role, you will be responsible for ensuring the quality and success of product releases, overseeing the release lifecycle, and fostering collaboration among cross-functional teams to achieve seamless product rollouts. Key Responsibilities: Release Planning & Coordination: - Provide guidance and support to teams during PI planning to streamline release processes effectively. - Collaborate with Project Managers to manage the release lifecycle, including scheduling, scope definition, and resource allocation. - Mentor cross-functional teams to ensure readiness for product releases and adherence to release gates. Quality Assurance & Risk Management: - Establish and enforce quality gates to uphold product quality standards. - Conduct thorough quality assessments and identify potential risks in the release process. - Collaborate with project managers and team owners to document risks and develop mitigation plans. Documentation & Compliance: - Create and maintain comprehensive release documentation, including release notes, plans, and scope details. - Ensure compliance with established processes and policies throughout the release lifecycle. Communication & Stakeholder Management: - Serve as the primary point of contact for release-related communication. - Provide regular updates to stakeholders on release readiness, progress, and timelines. - Present metrics and reports to assess release effectiveness and identify areas for improvement. Continuous Improvement & Automation: - Advocate for best practices in continuous integration and deployment. - Implement automation tools to streamline the release process. - Continuously evaluate and refine release processes to enhance efficiency and quality. Qualifications: - Bachelor's degree in computer science, Information Technology, or related field. - Over 10 years of experience in release management, quality assurance, or software development. - Proficiency in Agile methodologies and software development lifecycle. - Strong communication, coordination, and organizational skills. - Demonstrated ability to manage multiple releases in a fast-paced environment. - Experience in risk management and developing mitigation plans. - Familiarity with key quality metrics and reporting techniques. - Leadership skills to mentor and support teams in maintaining quality standards. Preferred Qualifications: - Experience with cloud platforms like AWS, Azure, or Google Cloud. - Knowledge of ITIL practices and Scaled Agile Framework (SAFE). - Understanding of containerization technologies such as Docker and Kubernetes. - Familiarity with monitoring tools and techniques. Please note that Aeris may conduct background checks as part of the application process to verify information and assess suitability for the role. Additional details regarding the checks will be provided during the formal application process.,

The SecDb team is responsible for the engineering and management of a business-critical pricing and risk calculation platform used by revenue-generating and federation divisions. The team is expanding its focus to modernize the infrastructure through the adoption of Container strategies and containerization. This initiative aims to accelerate deployment, enforce runtime immutability, support microservices architecture, and provide scalable, resilient environments for applications. As a Developer on the team, you will partner with global developers and strategy/business-aligned technology teams. You will create solutions, develop new features, or improve existing services to meet evolving business requirements. Additionally, you will participate in the migration to modern, scalable microservices architecture leveraging Container concepts and container ecosystems. You will design systems using containerization best practices and contribute to container orchestration strategies, primarily utilizing Kubernetes. Ensuring seamless integration of containerization principles with legacy and new systems will be an essential part of your role. Collaborating on defining conventions, runtime orchestration, and integration strategies will be crucial for improving developer productivity, enhancing security protocols, and reducing the total cost of ownership. In this role, you will work at the core of a strategically important system at GS, impacting revenue and federation divisions. You will engage with global teams across various time zones and directly interact with business and additional technical teams. Your responsibilities will include innovating and implementing container-based solutions with Kubernetes to enhance deployment resiliency, speed, and operational efficiencies. You will gain insights into financial derivatives pricing and trade modeling while leveraging modern containerization techniques. Moreover, you will influence the strategic direction of the platform by integrating TSM initiatives that accelerate containerization benefits, resulting in more efficient and controlled production deployments. The ideal candidate should hold a Bachelors, Masters, or PhD in Mathematics, Computer Science, or a related field. A strong understanding of algorithms and data structures is required. Proficiency in a strongly typed compiled language (e.g., Java, C++) with at least 3 years of experience is necessary. Demonstrated experience working with large software systems, distributed computing, and both SQL and NoSQL databases is preferred. The candidate should be a proven team-player with excellent collaborative skills. Additional skills and technologies that are preferred include experience with containerization technologies (e.g., Docker) and container orchestration frameworks (e.g., Kubernetes). Exposure to continuous integration/continuous delivery (CI/CD) pipelines with containerized environments is a plus. Familiarity with container development strategies focusing on immutable container deployments, runtime isolation, and the segregation of application components is beneficial. An understanding of how modern containerization minimizes operational overhead and enforces security and regulatory compliance is desired. Motivation to learn about trading workflows and financial market dynamics is appreciated. Overall, relevant industry experience of over 2 years in container and Kubernetes is advantageous. Strong organizational skills and the ability to prioritize under pressure are vital for this role. This enhanced role is ideal for motivated technologists who value modern, scalable infrastructure and are eager to be at the forefront of integrating containerization into advanced financial systems.,

As a Lead Cloud Engineer at our organization, you will have the opportunity to design and build cloud-based distributed systems that address complex business challenges for some of the world's largest companies. Leveraging your expertise in software engineering, cloud engineering, and DevOps, you will play a crucial role in developing technology stacks and platform components that empower cross-functional AI Engineering teams to deliver robust, observable, and scalable solutions. Working within a diverse and globally distributed engineering team, you will engage in the complete engineering lifecycle, including designing, developing, optimizing, and deploying solutions and infrastructure at a scale that matches the world's leading companies. Your core responsibilities will involve: - Designing cloud solutions and distributed systems architecture for full-stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) for cloud-based solutions, encompassing CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and implementing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud, and Azure - Collaborating closely with cross-functional teams to define and implement analytics and AI features that align with business requirements and user needs - Utilizing Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability - Developing and maintaining APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation - Implementing robust security measures to safeguard sensitive data and ensure compliance with data privacy regulations and organizational policies - Continuously monitoring and troubleshooting application performance to identify and resolve issues affecting system reliability, latency, and user experience - Participating in code reviews and contributing to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code - Keeping abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering to identify opportunities for enhancing the analytics platform - Collaborating with business consulting staff and leaders to assess opportunities and develop analytics solutions for clients across various sectors To excel in this role, you should possess: - A Master's degree in Computer Science, Engineering, or a related technical field - 6+ years of experience, with a minimum of 3+ years at the Staff level or equivalent - Proven experience as a cloud engineer and software engineer in product engineering or professional services organizations - Experience designing and delivering cloud-based distributed solutions, with GCP, AWS, or Azure certifications considered advantageous - Proficiency in building infrastructure as code using tools such as Terraform, Cloud Formation, Pulumi, AWS CDK, or CDKTF - Deep familiarity with the software development lifecycle and configuration management tools - Experience with monitoring and analytics platforms, CI/CD deployment pipelines, backend APIs, Kubernetes, Git, and workflow orchestration - Strong interpersonal and communication skills, along with strong computer science fundamentals Join our team at Bain & Company, a global consultancy dedicated to partnering with change makers worldwide to shape the future and achieve extraordinary results.,

As a Senior Automation Developer, you will be responsible for RPA development and automation using tools like UiPath. Your duties will include designing, developing, and deploying robust RPA solutions to enhance efficiency and accuracy by automating repetitive tasks. You will integrate RPA solutions with various systems and troubleshoot any issues that arise. Additionally, part of your role will involve training and mentoring team members on RPA technologies and best practices. In the realm of custom application development, you will design, develop, and deploy applications using modern web development technologies such as HTML5, CSS, JavaScript, React, and Angular. Developing APIs and microservices to facilitate integration with other systems will also be a key aspect of your responsibilities. Collaborating with business analysts and stakeholders to understand requirements and ensure the quality and performance of applications through testing and optimization are also crucial components of your role. Your problem-solving and solution design skills will be put to the test as you analyze complex business problems and create efficient automation solutions. You will need to generate clear and concise technical documentation, interpret project-related documents, and develop detailed solution designs including process flows, data mappings, and system integrations. Effective communication of solutions and project plans through presentations and project charters will be a key part of your role. If you have experience or an interest in AI and Machine Learning, you will have the opportunity to integrate these technologies into automation workflows. Understanding AI and ML concepts, identifying use cases, collaborating with experts, and staying updated on advancements in these fields will be advantageous. Managing and delivering projects on time and within budget, collaborating with cross-functional teams, and providing regular updates to stakeholders are additional responsibilities that may be part of your role. Technical requirements include strong proficiency in UiPath or other RPA tools, experience in designing complex automation workflows, knowledge of programming languages like .NET, C#, or VBA, and understanding APIs, web services, and data integration techniques. Expertise in front-end and back-end development technologies, proficiency in database design and SQL, experience with cloud platforms and containerization technologies, as well as knowledge of API development and microservices architecture are critical technical skills required for this position. Soft skills such as problem-solving, communication, teamwork, and a passion for learning new technologies are also essential. Experience with low-code/no-code platforms, DevOps practices and tools, security best practices, and cloud-native development are additional considerations that could enhance your qualifications. To be considered for this role, you should have a Bachelor's Degree in IT, Computer Science, or any engineering stream, along with a minimum of 3-4 years of relevant experience. The primary location for this position is in Bangalore, Karnataka, on a full-time basis. The unposting date is ongoing.,

You are looking for a Senior Engineer, Full Stack SME with expertise in GCP data to join an exciting global team at Deutsche Bank in Bangalore, India. As part of the Sustainability Technology Platform initiative, you will contribute to developing sustainability data products and applications to support the bank's goals in Sustainable Finance, ESG Risk Mitigation, and Corporate Sustainability. Your key responsibilities will include technical leadership in Fullstack development, API design, hybrid cloud adaptation, code reviews, and best practices. You will also provide strategic direction by partnering with business stakeholders to translate requirements into technical solutions, develop a technology roadmap aligning with business goals, and analyze migration feasibility to GCP. Mentorship and collaboration are essential aspects of this role, where you will guide junior developers, foster knowledge sharing within the team, and communicate complex technical concepts effectively. Problem-solving and innovation will be crucial as you troubleshoot technical issues, recommend process improvements, and explore innovative solutions using GCP services. To excel in this position, you should have over 10 years of full-stack software development experience, a proven track record in leading successful GCP projects, expertise in web and application development technologies, containerization technologies, and strong communication and problem-solving skills. Your ability to think strategically, mentor others, and your proficiency in technologies like ReactJS, Spring Cloud, Docker, Kubernetes, and SQL will be essential. Deutsche Bank offers a supportive environment with training, coaching, and flexible benefits to aid your career progression. The company values a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. If you have knowledge of Sustainable Finance, ESG Risk, or experience in infrastructure automation and DevOps principles on GCP, it will be considered a plus. Join us in striving for excellence together at Deutsche Bank.,

As a Tech Lead at VIR Consultants, located in Noida, India, you will play a crucial role in leading our in-house IT team. Your primary responsibility will involve gathering internal technical requirements and overseeing the entire project lifecycle to ensure the robustness, scalability, and efficiency of our platforms. To excel in this leadership position, you must possess extensive expertise in full stack development, particularly in Node.js, Vue/React, and Dart/Flutter, as well as a deep understanding of DevOps and continuous deployment practices. Your key responsibilities will include leading, mentoring, and managing the IT and development team, setting clear objectives, and fostering a collaborative work environment. You will also be tasked with analyzing requirements, designing cutting-edge solutions, overseeing software development from planning to maintenance, and building scalable applications using various technologies. In addition to technical duties, you will be expected to implement and maintain robust DevOps practices, establish CICD pipelines, evaluate and integrate emerging technologies, and act as the primary technical contact for internal stakeholders. Your role will also involve translating business requirements into technical specifications and communicating project progress and challenges to the senior management team. To qualify for this role, you should hold a Bachelor's degree in Computer Science or a related field, along with 8 to 14 years of experience in full stack development and IT leadership. Proficiency in Node.js, Vue.js, React, and Dart/Flutter is essential, as well as a solid understanding of DevOps practices, microservices architecture, RESTful APIs, and containerization technologies. Apart from technical competencies, strong soft skills such as leadership, communication, problem-solving, and the ability to manage multiple projects concurrently are crucial for success in this position. In return, we offer a competitive salary package ranging from 14 to 26 Lakh per annum, a collaborative work environment focused on growth and innovation, and the opportunity to lead technological advancements within the organization. If you are looking for a challenging yet rewarding opportunity to drive innovation and work on industry-leading projects, VIR Consultants could be the perfect place for you. Join us in our vibrant office environment in Noida and be a part of our dynamic team as we strive towards excellence in IT and development.,

As an experienced professional in software development, you should possess a strong understanding and proficiency in Spring Boot framework. Your expertise should extend to microservices architecture and design patterns. You are expected to have hands-on experience with distributed caching technologies such as Hazelcast or Redis, as well as MongoDB and RabbitMQ. Your role will involve extensive knowledge of integrations and API development, working on solutions for complex problems within enterprise-wide projects. Furthermore, familiarity with AWS services and deployment is crucial, along with a good grasp of security protocols and best practices. Proficiency in containerization technologies like Docker and Kubernetes is essential, as well as a working knowledge of CI/CD pipelines and DevOps practices. Problem-solving and analytical skills are expected to be excellent in order to effectively navigate the technical challenges that may arise. Your responsibilities will include software applications design in alignment with design best practices and customer requirements. You will also be accountable for ensuring clarity and comprehension of project design among the technical team, as well as implementing business requirements following the project's design document. In terms of reporting, you will be responsible for providing accurate updates on the technical team's progress, challenges, risks, and recommendations. Additionally, coaching and offering technical guidance to team members throughout the project are key aspects of your role. You will be tasked with selecting the most suitable technologies and tools for implementing customer requirements, managing multiple projects concurrently, and maintaining a focus on creating highly maintainable applications. Assessing the quality of all technical deliverables, enforcing coding standards, ensuring unit testing of implemented features, conducting code reviews, and promptly addressing any issues that may impact project quality are essential quality management responsibilities. You are also expected to handle technical estimates from the early stages of projects to their completion and contribute to high-level requirement estimations during RFPs. Teamwork and effective communication are vital components of this role. You should foster a spirit of collaboration among team members, assign tasks based on individual technical capabilities, and provide constructive technical feedback and development areas to your colleagues. Your commitment, flexibility, and dedication to delivering tasks within project timelines and quality standards, adapting to unplanned changes, and collaborating with team members to achieve project objectives are critical for success. This is a full-time position that requires in-person work from Monday to Friday. Your dedication to the business's success and your ability to prioritize tasks for optimal outcomes will be instrumental in driving the projects forward.,