7 Containerization Technologies Jobs

As a Lead Platform Engineer at our esteemed organization, you will play a pivotal role in designing and constructing cloud-based distributed systems that tackle intricate business dilemmas for some of the largest companies globally. Leveraging your profound expertise in software engineering, cloud engineering, and DevOps, you will be instrumental in crafting technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Being part of a diverse and globally dispersed engineering team, you will engage in the complete engineering lifecycle, encompassing the design, development, optimization, and deployment of solutions and infrastructure on a scale that caters to the needs of the world's leading corporations. Your core responsibilities will revolve around: - Crafting cloud solution and distributed systems architecture for full stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) of cloud-based solutions, inclusive of CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and executing 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 fellow engineers, to define and implement analytics and AI features that align with business requirements and user needs - Harnessing 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 both internal and external consumers, adhering to best practices for API design and documentation - Implementing robust security protocols to safeguard sensitive data and uphold compliance with data privacy regulations and organizational policies - Continuously monitoring and troubleshooting application performance, identifying and resolving issues that impact 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 - Staying abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identifying opportunities to enhance the capabilities of the analytics platform - Collaborating closely with and influencing business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across various sectors - Influencing, educating, and directly supporting the analytics application engineering capabilities of our clients To be successful in this role, you should possess: - A Master's degree in Computer Science, Engineering, or a related technical field - 6+ years of experience, with at least 3+ years at the Staff level or equivalent - Proven expertise as a cloud engineer and software engineer in either product engineering or professional services organizations - Experience in designing and delivering cloud-based distributed solutions, with GCP, AWS, or Azure certifications being advantageous - Deep familiarity with software development lifecycle nuances - Proficiency in one or more configuration management tools such as Ansible, Salt, Puppet, or Chef - Proficiency in one or more monitoring and analytics platforms like Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/Icinga - Experience with CI/CD deployment pipelines (e.g., Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI) - Experience in building backend APIs, services, and/or integrations using Python - Practical experience with Kubernetes through services like GKE, EKS, or AKS is beneficial - Ability to collaborate effectively with internal and client teams and stakeholders - Proficiency in Git for versioning and collaboration - Exposure to LLMs, Prompt engineering, Langchain is a plus - Experience with workflow orchestration tools like dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other - Experience in the implementation of large-scale structured or unstructured databases, orchestration, and container technologies such as Docker or Kubernetes - Strong interpersonal and communication skills, enabling you to explain and discuss complex engineering technicalities with colleagues and clients from different disciplines at their level of cognition - Curiosity, proactivity, and critical thinking - Sound knowledge of computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and the implications of computer architecture on software performance - Strong understanding of designing API interfaces - Knowledge of data architecture, database schema design, and database scalability - Familiarity with Agile development methodologies At our organization, Bain & Company, a global consultancy dedicated to assisting the world's most ambitious change-makers in shaping the future, we operate across 65 cities in 40 countries. Collaborating closely with our clients, we work as one team with a shared objective of achieving exceptional results, outperforming competitors, and redefining industries. Our commitment to investing more than $1 billion in pro bono services over the next decade reflects our dedication to supporting organizations addressing pressing challenges in education, racial equity, social justice, economic development, and the environment. With a platinum rating from EcoVadis, a prominent platform for environmental, social, and ethical performance ratings for global supply chains, we stand in the top 1% of all companies. Since our inception in 1973, we have gauged our success by the success of our clients and proudly maintain the highest level of client advocacy in the industry.,

A career with us is a journey, not a destination. This could be the next best step in your technical career. Join us. As a Lead Architect at JPMorgan Chase within the Consumer and Community Banking, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for conducting critical architecture solutions across multiple technical areas within various business functions in support of project goals. Job responsibilities Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future needs Defines the technical target state of their product and drives achievement of the strategy Participates in architecture governance bodies Evaluates recommendations and provides feedback on new technologies Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle. Developing and improving engineering practices and processes Experience with .Net/.Net core or similar enterprise-level technologies with successfully leading enterprise level software engineering and teams in the areas of software and/or cloud service Exposure to JS stacks like Angular, React, Node, TypeScript, etc. Exposure to working with XML, JSON and NoSQL and relational databases Developing highly scalable data-driven applications based on structured and unstructured data sets. Exposure to Performance Engineering practices . Exposure to Architecting Automated Testing solutions Exposure to patterns, tools and practices for CI/CD. Using and architecting containerization technologies (Docker, Kubernetes, Mesos, Docker Swarm) Deploying enterprise grade production apps in AWS, or Azure, or GCP, etc.4+ years of experience with Agile Methodology and Tools with a willingness to help teams become agile, high performing and foster a culture of team-work and sustainable Preferred qualifications, capabilities, and skills A passion for following recent industry trends and technologies Familiarity with functional programming techniques and technologies such as Scala, Clojure, or Lisp Secure Software Development Lifecycle with OWASP guidelines & practices Analysis and Design Patterns: Object Oriented Analysis and Design (OOAD), UML, MVVM, Microservice,

As a Datadog L3 Transition and Transformation(T&T) Resource, you will be responsible for leading the transition of Datadog monitoring solutions into client environments. This involves conducting a thorough analysis of existing monitoring systems and developing and executing transition plans to ensure a seamless integration of Datadog solutions with minimal disruption. Your role will also include designing and implementing advanced configurations within the Datadog tool to align with client-specific monitoring requirements. You will troubleshoot and resolve complex technical issues during the transformation phase, providing hands-on expertise as needed. In addition, you will serve as an L3 escalation point for Datadog-related queries, showcasing an in-depth understanding of the platform's features and functionalities. Conducting comprehensive system analysis to optimize performance, including fine-tuning alerting, incident response, and reporting mechanisms will be part of your responsibilities. Collaboration is key in this role, as you will work closely with cross-functional teams, including support, operations, and engineering, to ensure a cohesive transition and transformation process. You will also mentor and guide L1/L2 support teams, providing technical insights and facilitating knowledge transfer. Client interaction is another significant aspect of the job, where you will engage with clients to understand their unique monitoring needs and customize Datadog solutions accordingly. Conducting training sessions for clients to enhance their understanding and proficiency in utilizing Datadog capabilities will also be part of your duties. Documentation plays a crucial role in this position, as you will be required to create and maintain comprehensive documentation of Datadog transition and transformation processes. This will facilitate knowledge sharing within the team and ensure a smooth workflow. Continuous improvement is encouraged, and you will actively participate in identifying areas for enhancement in Datadog tools and contribute insights for product improvement. Your technical skills should include proficiency in the Datadog platform, cloud-based monitoring, APM, infrastructure monitoring, scripting languages for automation and integration, containerization technologies, microservices architecture, incident response, log analysis, and performance optimization. Requirements for this role include a Bachelor's degree in a relevant field or equivalent practical experience, a proven track record in implementing Datadog solutions with a focus on transition and transformation, excellent communication skills, and the ability to convey technical concepts effectively. Relevant certifications in Datadog and other related technologies are highly desirable.,

As an AI Decision Science Consultant at Accenture Strategy & Consulting, specifically in the Global Network - Data & AI practice under the CMT Software & Platforms team, you will play a pivotal role in helping clients leverage analytics to achieve high performance and make better decisions. In collaboration with onsite counterparts, you will drive the development and delivery of Data & AI solutions for SaaS and PaaS clients. You will have the opportunity to work with a diverse team of talented professionals experienced in leading statistical tools and methods. From gathering business requirements to developing and testing AI algorithms tailored to address specific business challenges, you will be involved in the end-to-end process of delivering AI solutions. Your role will also include monitoring project progress, managing risks, and fostering positive client relationships by ensuring alignment between project deliverables and client expectations. In this role, you will mentor and guide a team of AI professionals, promoting a culture of collaboration, innovation, and excellence. Continuous learning and professional development will be supported by Accenture, enabling you to enhance your skills and certifications in SaaS & PaaS technologies. As part of the Data & AI practice, you will be at the forefront of leveraging AI technologies such as Generative AI frameworks and statistical models to drive business performance improvement initiatives. To excel in this role, you should possess a bachelor's or master's degree in computer science, engineering, data science, or a related field. With at least 5 years of experience in working on AI projects, you should have hands-on exposure to AI technologies, statistical packages, and machine learning techniques. Proficiency in programming languages such as R, Python, Java, SQL, and experience in working with cloud platforms like AWS, Azure, or Google Cloud will be crucial. Your strong analytical, problem-solving, and project management skills will be essential in navigating complex issues and delivering successful outcomes. Excellent communication and interpersonal skills will enable you to engage effectively with clients and internal stakeholders, while your ability to work with large datasets and present insights will drive informed decision-making. Join us at Accenture Strategy & Consulting and be part of a dynamic team dedicated to helping clients unlock new business opportunities through Data & AI solutions.,

As a Cisco Datacenter Engineer with expertise in HPC, AI/ML, and DevOps, you will play a crucial role in designing and optimizing high-performance computing environments, particularly tailored for AI/ML workloads. Your responsibilities will encompass managing HPC infrastructure, overseeing Cisco datacenter operations, configuring routing and switching systems, ensuring network security, optimizing Infiniband networking, and deploying Nvidia AI Enterprise software within enterprise environments. You will collaborate with DevOps teams to integrate automation and containerization technologies into HPC setups, monitor system performance, maintain documentation, and provide advanced technical support. With over 15 years of experience in HPC infrastructure design and management, you will leverage your extensive knowledge of Nvidia DGX systems, Infiniband networking, and Nvidia AI Enterprise software. Your technical proficiency in AI/ML workflows, GPU-accelerated computing, containerization technologies, and Cisco networking will be instrumental in ensuring the efficiency and security of HPC environments. Additionally, your scripting and automation skills using tools like Python and Ansible will aid in optimizing operations. Preferred qualifications for this role include certification in Nvidia AI Enterprise or similar HPC-related certifications, experience in hybrid or multi-cloud environments, and a background in R&D or enterprise AI settings where cutting-edge AI/ML solutions were developed and deployed. By working closely with AI/ML experts, network architects, and security engineers, you will deliver integrated solutions that align with both business and technical requirements, ensuring minimal downtime and optimal performance of HPC and network systems.,

You will be joining our team as a full-time Software Engineer, dedicated to enhancing the security solutions we provide. Collaborating with engineers, designers, and product managers, you will contribute to the technical direction of our Duo product. Your responsibilities will include building, documenting, extending, and maintaining various components of the product, ensuring its overall success. To excel in this role, you should possess the following skills and qualities: - A proven track record as a professional software engineer, demonstrating successful project deliveries within a team environment. - 8-10 years of experience in site reliability engineering, systems engineering, or DevOps roles. - Proficiency in managing cloud environments, preferably AWS, GCP, or Azure. - Hands-on experience in creating and managing CI/CD pipelines. - Familiarity with containerization technologies such as Docker and Kubernetes. - Knowledge of infrastructure automation tools like Terraform, Ansible, or Chef. - Proficiency in using monitoring and observability tools like Prometheus, Grafana, Datadog, and Splunk. - Strong scripting skills in at least one language like Python, Go, or Bash. - Experience with load balancing, caching, and distributed systems architecture. - Understanding of version control tools such as Git, GitLab, or GitHub. - Expertise in troubleshooting production systems and networking protocols like DNS, HTTP, and TCP/IP. - Excellent written and verbal communication skills, catering to individuals with varying technical expertise. - Previous experience in running production deployments on AWS or similar IaaS platforms. - Proficiency in delivering software using agile methodologies. - Strong commitment to ensuring the quality of your work and a passion for innovating in the network security domain. Additionally, having domain knowledge in DLP (Data Loss Prevention) would be considered a significant advantage for this role. If you meet the above criteria and are excited about the prospect of contributing to our team, please send your resume to gita@laddersuphr.com.,

1. Design and develop technical architecture for software applications, ensuring scalability, reliability, and performance. 2. Collaborate with cross-functional teams, including developers, project managers, and business analysts. Required Candidate profile Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience as a Technical Architect or in a similar role, with a strong portfolio of successful projects.