9 Deployment Practices Jobs

As a Lead Infrastructure Engineer at JPMorgan Chase within the Infrastructure Platforms team, you will play a vital role as a key member of a high-performing team dedicated to delivering infrastructure and performance excellence. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies. In this role, you will leverage your deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. You will have the opportunity to continue evolving your technical expertise and cross-functional knowledge beyond your current domain of expertise. Your responsibilities will include applying technical expertise and problem-solving methodologies to projects of moderate scope. You will drive workstreams or projects involving one or more infrastructure engineering technologies, collaborating with other platforms to architect and implement changes necessary to resolve issues and modernize technology processes within the organization. Additionally, you will be responsible for designing creative solutions, troubleshooting technical issues of moderate complexity, and considering upstream/downstream data and systems implications while advising on mitigation actions. Furthermore, you will be involved in conducting research, designing and engineering network perimeter DMZ switching and routing environments, introducing new feature requirements for clients, developing and maintaining scripts for device pave/repave, and automating day-to-day tasks. You will also be tasked with developing engineering standards and artifacts for certified products, serving as the escalation point for Network Operations and Service Delivery teams, and coordinating cross-team efforts while collaborating with stakeholders. To qualify for this position, you should have formal training or certification in infrastructure disciplines concepts along with at least 5 years of applied experience. You should possess deep knowledge in one or more areas of infrastructure engineering, such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments. Proficiency in scripting languages like Python and knowledge of cloud infrastructure, multiple cloud technologies, DMZ architecture, and Cisco data center fabric are also essential. Experience with software development, general-purpose programming/scripting languages, DevOps tools, microservices, CI/CD pipelines, network security technologies, and Agile methodologies will be beneficial. Preferred qualifications include CCIE certification, strong critical thinking, problem-solving skills, leadership abilities, and effective communication skills in a large enterprise environment.,

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Platforms team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications. Resolves most nuances and determines appropriate escalation path. Executes conventional approaches to build or break down technical problems. Drives the daily activities supporting the standard capacity process applications. Collaborating with other mainframe technical teams to provide architectural and technical guidance. Developing automation, tooling, reports, and utilities to assist in mainframe access administration. Participating in on-call and off-hours technology events. Required qualifications, capabilities, and skills include formal training or certification on infrastructure disciplines concepts and 3+ years applied experience. Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments. Initialize new DASD volumes and Add new tape volumes. Perform the space management activities such as VTOC resizing, Defrag, Compress / Reclaim / Release / Cleaning of datasets. Manage and Define SMS rules and ACS routines along with reorganization of storage dataset (HSM CDS & Catalog file). Strong knowledge of various storage products like Catalog Recovery Plus, Vantage, STOPX37, DSS, JCLs, VSAM, HSM, CA1, CSM, DS8K, VTS, and GDPS replication. Adopt the given technology to meet the drift of customer and business requirements. Demonstrated problem determination and resolution within expected time frame. Root Cause Analysis preparation and meeting Service level agreement for submission. Hands-on experience with disaster recovery planning and performing the recovery test (Tape recovery / DASD Replication / Tape Replication) and Managing the Copy services / GDPS. Has the ability to develop, document, and maintain procedures for system utilities such as backup/restore, performance tuning, and configuration of environments as well as incremental backups as required. Preferred qualifications, capabilities, and skills include strong problem-solving skills, excellent verbal and written communication skills. Strong knowledge in programming in REXX or other languages strongly desired.,

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role as an Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Platforms team. In this role, you will utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline, applying your technical expertise and problem-solving methodologies across multiple applications of moderate scope. Your responsibilities will include applying technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale while ensuring end-to-end monitoring of applications. You will be responsible for resolving most nuances and determining the appropriate escalation path, as well as executing conventional approaches to build or break down technical problems. Additionally, you will drive the daily activities supporting the standard capacity process applications, collaborate with other mainframe technical teams to provide architectural and technical guidance, develop automation, tooling, reports, and utilities to assist in mainframe access administration, and participate in on-call and off-hours technology events. To qualify for this role, you should have formal training or certification on infrastructure disciplines concepts and at least 3 years of applied experience. You should possess strong knowledge of infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments. Additionally, you should be capable of initializing new DASD volumes, adding new tape volumes, performing space management activities, managing and defining SMS rules and ACS routines, reorganizing storage datasets, and demonstrating problem determination and resolution within the expected time frame. Hands-on experience with disaster recovery planning, performing recovery tests, managing copy services, and developing and maintaining procedures for system utilities are also required skills for this role. Preferred qualifications include strong problem-solving skills, excellent verbal and written communication skills, and strong knowledge in programming in REXX or other languages.,

We are Karat, the world's largest interviewing company. Join our Engineering team dedicated to building the world's most predictive, inclusive, and fair interviewing products for clients and technical candidates. As a Software Engineer at Karat, you will be responsible for building product features that enhance the interviewing process for engineers and engineering organizations. This role offers growth opportunities in a dynamic environment where your code directly influences how companies evaluate technical talent and develop their most valuable asset - their people. You will: - Develop sophisticated web applications, both frontend and backend, using various programming languages, testing, and development tools. - Write clean, scalable services, components, and APIs to maintain high standards of code quality and maintainability. - Collaborate with cross-functional partners to define features and build user-friendly products. - Participate in architecture discussions and contribute to balancing innovation with reliability. - Own and deliver projects from design to release, ensuring thorough testing and smooth integration. - Enhance existing codebases, identify improvement opportunities, and increase developer productivity. - Contribute to engineering best practices, including code reviews, documentation, and knowledge sharing. Requirements: - 4+ years of professional experience in developing and launching web applications - Expertise in modern programming languages such as Ruby, Python, React, and TypeScript/JavaScript - Experience with database design, RESTful API development, and modern frontend technologies - Understanding of software engineering fundamentals, data structures, algorithms, and system design principles - Knowledge of version control systems, CI/CD pipelines, and deployment practices - Familiarity with cloud platforms and containerization technologies - Strong analytical and problem-solving skills with attention to detail - Excellent communication skills in English - Ability to work independently and collaboratively in cross-functional teams - Interest in technical interviewing, talent assessment, or educational technology - Proficiency in leveraging AI tools to enhance development workflows This position is available in Bengaluru and open to candidates authorized to work in India only. No visa sponsorship is provided. Benefits include a competitive salary, stock options, private healthcare, generous time off policies, and country-specific benefits. Karat values diversity and encourages individuals of color, womxn, and LGBTQIA+ to apply. Accommodations for disabilities or special needs can be requested at accommodation@karat.com.,

You will be a key member of our team as a Software Engineer specializing in AI. Your role will involve working at the cutting-edge intersection of advanced AI technologies and robust backend systems. We are seeking an individual with a strong background in Python development and a keen interest in creating scalable GenAI applications. Your primary responsibilities will revolve around designing, developing, and deploying backend services that support AI-driven systems and user experiences with a focus on LLM-based technologies. Your main tasks will include designing and implementing GenAI pipelines such as LLM orchestration, RAG, and multi-agent workflows using frameworks like LangChain, Agno, LlamaIndex, ReAct, AutoGen, or CrewAI. You will also be responsible for building and maintaining Python backend services utilizing FastAPI or Flask, creating APIs and microservices to expose LLM capabilities, integrating external data sources into AI workflows, and managing model selection, fine-tuning, and optimization for production use. Additionally, you will collaborate closely with product and design teams to translate user requirements into backend AI features. It would be advantageous if you have experience or interest in frontend technologies like React, Next.js, or Vue, as well as deploying applications in cloud environments using tools such as Docker, Kubernetes, and CI/CD pipelines. Familiarity with authentication systems, API gateways, and basic DevOps workflows is also a plus. Exposure to Python libraries for ML/AI such as Transformers, scikit-learn, PyTorch, and TensorFlow would be beneficial. To excel in this role, you should possess at least 4 years of professional experience in Python backend development and machine learning. Experience in building and deploying GenAI applications using LLMs and related orchestration frameworks is essential. A strong understanding of RESTful API design, backend architecture, vector databases, and FastAPI or Flask for production-grade services is required. Additionally, you should have a solid grasp of software engineering principles, testing methodologies, version control practices, and deployment procedures. A proactive mindset and the ability to thrive in dynamic environments are highly valued traits. We value individuals who exhibit ownership, pragmatism, curiosity, and collaboration. Ownership entails taking full responsibility for your work and outcomes, while pragmatism involves balancing innovation with reliability and scalability. Curiosity drives continuous learning and experimentation with new AI tools and trends, while collaboration fosters effective cross-disciplinary teamwork and clear communication. This position is offered as Contract-to-Hire, with the potential for full-time conversion based on your performance and fit within the team.,

We are Karat, the world's largest interviewing company. Join our Engineering team dedicated to building the world's most predictive, inclusive, and fair interviewing products for clients and technical candidates. As a Software Engineer at Karat, you will build product features that enhance engineering interviews and operations. You will contribute to our flagship interviewing platform, transforming how companies evaluate technical talent. Your work will directly impact how companies discover and develop their most valuable assettheir people. Your responsibilities will include: - Developing sophisticated web applications, both frontend and backend, using various programming languages and tools. - Writing clean, scalable services, components, and APIs to maintain high code quality and platform stability. - Collaborating with cross-functional teams to define features and create user-friendly products. - Participating in architecture discussions and contributing to decisions balancing innovation with reliability. - Owning and delivering projects within your team's area, ensuring thorough testing and integration. - Supporting and enhancing existing codebases to increase developer productivity. - Contributing to engineering best practices through code reviews, documentation, and knowledge sharing. Qualifications: - 4+ years of professional experience developing and launching web applications. - Expertise in modern programming languages (Ruby, Python, React, TypeScript/JavaScript) and web frameworks. - Experience with database design, API development, and frontend technologies. - Strong understanding of software engineering fundamentals, version control systems, and CI/CD. - Familiarity with cloud platforms and containerization technologies. - Analytical and problem-solving skills with attention to detail. - Excellent communication skills in English and ability to collaborate effectively. - Interest in technical interviewing, talent assessment, or educational technology. - Proficiency in leveraging AI tools for development workflows. This position is only available in Bengaluru, India, and open to candidates authorized to work in India. Candidates from other cities in India will not be considered. Benefits include a competitive salary, stock options, private healthcare, generous time-off policies, and inclusive work environment. Karat values diversity and encourages individuals from all backgrounds to apply. Accommodations for disabilities or special needs can be requested by contacting accommodation@karat.com.,

You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role. As an Infrastructure Engineer III at JPMorgan Chase within the Cybersecurity & Tech Controls team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope. Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications. Resolves most nuances and determines appropriate escalation path. Executes conventional approaches to build or break down technical problems. Drives the daily activities supporting the standard capacity process applications. Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses. Considers upstream/downstream data and systems or technical implications. Be accountable for making significant decisions for a project consisting of multiple technologies and applications. Adds to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills: - Formal training or certification on Infrastructure engineering concepts and 3+ years applied experience - Strong knowledge of one or more infrastructure disciplines such as hardware, operation systems, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments - Strong knowledge of one or more scripting languages (e.g., Scripting, Python, etc.) - Strong communications skills, verbal, written, ability to drive meetings and knowledge sharing sessions to teams - Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds - Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge - Knowledge and hands-on experience with tools like Jira, Confluence, ServiceNow, Netcool Preferred qualifications, capabilities, and skills: - Familiar with AWS / Azure / GCP or other cloud environments - Familiar with Terraform or other infrastructure as code technologies - Familiar with CI/CD pipelines - Familiar with experience with GitHub and code reviews - Familiar with DevOps using Python, scripting for automation.,

You will be joining our AI/ML team as an experienced and hands-on AI/ML Tech Lead. In this role, you will be responsible for architecting, guiding, and delivering scalable AI solutions while actively contributing to code and model development. Your deep expertise in machine learning, computer vision, LLMs, and deployment practices, along with prior experience in leading and mentoring a team of engineers, will be crucial for success. Your key responsibilities will include leading the development and deployment of AI/ML models and API-based services in domains such as Computer Vision, LLMs, and Agentic AI. You will guide and mentor a team of at least 4 AI/ML engineers, ensuring high-quality technical output and team growth. Additionally, you will own infrastructure and DevOps decisions related to AI model serving, optimization, and monitoring. Collaboration with DevOps, Data Engineering, and Product teams for seamless integration and delivery will also be a key aspect of your role. Evaluating and adopting emerging AI frameworks and tools to enhance development velocity and model performance will be part of your responsibilities. To excel in this role, you should have a minimum of 9 years of experience in AI/ML, with at least 2 years in a technical leadership role guiding a team. Proven hands-on experience in deploying production-grade ML models using Docker, FastAPI/Flask, and CI/CD pipelines is essential. A deep understanding of version control (Git), containerization, and MLOps practices is required. Proficiency in Python, PyTorch/TensorFlow, OpenCV, and HuggingFace/Transformers is expected. Exposure to agentic AI workflows, prompt engineering, and GPU-based training/inference will be beneficial. Experience working with cloud infrastructure (AWS/GCP/Azure) and managing compute/GPU resources is also a plus.,

Company Overview Cloudious LLC is a leader in connecting talent with opportunity in today's competitive business environment. With expertise spanning over 40 years, Cloudious is dedicated to solving clients workforce challenges by engaging in trusted relationships with top-tier organizations across multiple industries, including technology and services. Headquartered in San Jose, California, Cloudious is a standalone firm serving diverse sectors, committed to the mission of Connecting Minds to achieve unparalleled success. Job Overview Cloudious LLC is seeking a Senior Java Developer for a contract position located in Chennai. The ideal candidate will have a maximum of 10 years of work experience in Java development and will be responsible for developing high-quality applications. This role is geared towards individuals who are adept at problem-solving and possess a strong track record in Java, Spring Boot, and Microservices. Qualifications and Skills Proficient in Java, Spring Boot, and Microservices (Mandatory skills) with proven industry experience. Strong understanding and practical experience with REST APIs and SQL for designing and implementing efficient database solutions. Excellent problem-solving abilities with the capacity to handle complex coding challenges in critical projects. Ability to manage and collaborate within a dynamic team environment to drive project success. Demonstrated experience in building scalable web applications with an emphasis on performance. Exceptional communication skills are necessary to effectively articulate ideas and feedback. Experience with continuous integration and deployment practices to ensure seamless software development processes. Knowledge of design patterns and software architecture best practices to ensure robust application development. Roles and Responsibilities Design, develop, and maintain high-quality Java-based applications, ensuring robust and scalable solutions. Collaborate with cross-functional teams to gather and analyze user requirements and translate them into technical specifications. Implement API integrations and service-oriented architecture using REST APIs and microservices frameworks. Engage in code reviews and provide constructive feedback to peers to enhance code quality. Troubleshoot and resolve technical issues to ensure optimal application performance and reliability. Maintain up-to-date documentation for design, coding, and integration procedures. Participate actively in team meetings to contribute to project strategy and progress discussions. Ensure adherence to software development lifecycle best practices to deliver projects on time and within scope.