143 Deployment Process Jobs - Page 4

JD #3 5+ years of experience in AI and machine learning Should have hands-on experience in deploying at least one end to end GenAI project Proven experience with Azure OpenAI LLMs and its application in enterprise environments Strong programming skills in Python and familiarity with AI development tools and libraries. Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skill

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Amazon Web Services (AWS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process while ensuring alignment with organizational goals. You will also engage in strategic planning and decision-making to enhance application performance and user experience, fostering a culture of innovation and continuous improvement within your team. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and professional growth.- Facilitate regular team meetings to discuss progress, challenges, and solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Amazon Web Services (AWS).- Strong understanding of cloud architecture and deployment strategies.- Experience with application development and integration in cloud environments.- Familiarity with DevOps practices and tools for continuous integration and delivery.- Knowledge of security best practices in cloud computing. Additional Information:- The candidate should have minimum 5 years of experience in Amazon Web Services (AWS).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Java Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 3 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations, Manual Testing Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Needed- Client Solutioning Project Management 36 years in robotics/automation with at least 2 years in project or solutioning roles knowledge of robotic arms, PLCs and control systems Experience with cobots (UR, FANUC, ABB), AGVs/AMRs is a plus

Skills : Camunda Developer Notice Period: Immediate. Type: Contract Good implementation knowledge of Spring Boot microservices. Excellent knowledge on Camunda 8 Platform, Camunda Platform Run and Camunda Production Setup and Deployment process. Having knowledge on Camunda 7 platform is good to have . Should have working experience with BPMN and DMN modelling. Should have excellent knowledge on Camunda workflow, process modelling in Camunda Modeler. Should have excellent knowledge on Camunda Rest API and creating embedded and remote process engine. Should have expertise in creating spring boot micro-services with embedded workflows and creating containers for those micro-services. Should have working knowledge on Camunda delegates, external tasks, DB config for process instance data and implementation knowledge on tasks, events, gates, error handlers, sub-processes, incidents. Should be able to create rules engine using Decision Relationship Diagrams( DRD ) and DMN tables. Should be knowledge on migrating process instances to higher versions. Should be able to create batch processes using Camunda. Should have hands-on experience to secure Camunda process using either SSO or LDAP.

As a Technical Specialist, who thrives on innovation and loves turning complex ideas into scalable solutions. You would lead the development of features with medium to high complexity, collaborate in technical discussions, and shape the architecture of software systems that power impactful products and services. Whether its developing with Golang, Python, or Java, creating Helm charts for Kubernetes, or contributing to open-source initiatives, your skills will help drive forward our R&D goals. You have: Bachelor's / Master's degree or equivalent degree with 68 years in software design, development, and testing Fluency in Golang, Java/J2EE, or Python Develop and implement functional tests and automation using the Radish framework Experience with agile methodologies Expertise in Kubernetes and Helm, Deep understanding of Kubernetes architecture, deployment strategies, and Helm chart creation and management It would be nice if you also had: Knowledge of Prometheus / Victoria Metrics / Grafana Demonstrated open-source contributions or a strong interest in open-source development Lead & perform development activities of medium/high complexity features. Architect, design, develop, and test scalable software solutions Own and lead feature development and contribute to process improvements Collaborate with peers to resolve technical issues and review design specs Build and automate tests using frameworks like Radish Utilize tools like Prometheus, Grafana, and Victoria Metrics for observability Operate in an agile environment and bring a proactive, solution-oriented mindset

Company Overview: At Codvo, software and people transformations go hand-in-hand We are a global empathy led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects Lead the architectural design and implementation of complex AI systems Evaluate and recommend emerging AI technologies and methodologies Drive the adoption of best practices for AI development, deployment, and maintenance Contribute to the strategic planning of AI initiatives, aligning them with business goals Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support Foster a collaborative and innovative team environment Conduct code reviews and ensure code quality Identify and address skill gaps within the team Facilitate knowledge sharing and continuous learning AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions Ensure the performance, reliability, and security of AI systems Drive the development of AI pipelines and infrastructure Lead the integration of AI models with existing systems and applications Troubleshoot and resolve complex technical issues Research & Innovation: Stay abreast of the latest advancements in AI and machine learning Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI Drive research and development efforts to explore new AI technologies Evaluate and prototype new AI solutions Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers Communicate complex technical concepts to both technical and non-technical audiences Provide technical presentations and demonstrations Document technical designs, code, and processes Required Skills and Qualifications: EducationBatchelors or Masters or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects Extensive experience in designing and implementing scalable AI systems Proven experience in leading and mentoring technical teams Deep understanding of machine learning and deep learning algorithms and architectures Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of AI infrastructure and deployment strategies Experience with MLOps best practices Experience with vector databases, and LLM implementations Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Soft Skills: Exceptional leadership and communication skills Strong problem-solving and analytical skills Ability to think strategically and drive innovation Excellent interpersonal and collaboration skills Strong presentation skills Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation) Experience with natural language processing (NLP) or computer vision Contributions to open-source AI projects Experience with distributed systems and big data technologies Experience with prompt engineering

About The Role Senior AI Engineer At Codvo, software and people transformations go hand-in-hand We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking About the Role: We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions Responsibilities: Generative AI Pipeline Development: Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines Data and Document Ingestion: Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines Ensure data quality, consistency, and security throughout the ingestion process AI Service Integration: Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications Develop and maintain APIs for seamless communication between AI services and backend systems Monitor and optimize the performance of integrated AI services within the Generative AI pipeline Retrieval Augmented Generation (RAG) Pipelines: Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI Evaluate and improve the accuracy and relevance of RAG-generated responses in the context of Generative AI applications Large Language Model (LLM) Integration: Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelines Implement prompt engineering strategies to optimize LLM performance for specific Generative AI tasks Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications Backend Services Ownership: Design, develop, and maintain backend services that support Generative AI applications Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads Implement monitoring and logging systems for backend services and pipelines supporting Generative AI Troubleshoot and resolve backend-related issues impacting Generative AI applications Required Skills and Qualifications: EducationBachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems Proven experience in designing and implementing data ingestion and processing pipelines Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries Strong understanding of AI infrastructure and deployment strategies Experience with data engineering and data processing techniques Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Experience with version control (Git) Experience with RESTful APIs and API development Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval Generative AI Specific Skills: Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs) Experience with integrating and managing Generative AI services Understanding of RAG pipelines and their application in Generative AI Experience with prompt engineering for LLMs in Generative AI contexts Soft Skills: Strong problem-solving and analytical skills Excellent communication and collaboration skills Ability to work in a fast-paced environment Preferred Qualifications: Experience with OCR and document processing technologies Experience with MLOps practices for Generative AI Contributions to open-source AI projects Strong experience with vector databases and their optimization for Generative AI applications Experience 5+ years Shift Time 2:30PM to 11:30PM Show more Show less

0px> Who are we? In one sentence Responsible for Leading and mentoring a small development team within a specific task or project, side by side with hands-on development. What will your job look like? As an SRE, with help of your Engineering mindset, identify/prioritize production issues and develop the solution to resolve them with end to end operability. Triage and troubleshoot service impacting events (like batch job failures, production fallouts, health check of application servers, customer reported anomalies) for an end to end resolution, with zero or right touch solutions. Tackle complex development, automation and business process problems with regular update to stake holders. Work with several applications teams and their interfaces to establish the right monitoring, alerting strategy accompanied with selfheal/auto heal. Identify and Automate the toils (repeatable manual tasks) in operations and provide software solutions for same. Identify and Fix the root cause for the production issues. Work with product teams to define application hardening and define opportunities for making product resilient in upcoming versions. Participate and contribute in the application knowledge buildup programs for the unit and be an active contributor to create operational and internal tools. All you need is... 6+ years of working knowledge on C/C++, SQL, PL/SQL, Unix, Cloud, Shell scripting, CORBA framework Working knowledge of integrated applications with client server framework Experience of implementing automation/eliminating manual tasks for continuous improvement Experience with development, defect fixing, categorization, quick resolution for incidents, running incident post-mortems. Solid understanding of deployment processes Good Understanding of Dev Ops and Agile processes Knowledge/Experience of Amdocs applications is a plus Behavioral skills Customer Centric. Self-motivated and result oriented. Pro-Active with good communication skills. Team player who can collaboratively work across functions, applications & Units. High problem-solving ability, Tech Savvy, attitude to dig deep into issues to find the right fix. Learning and continuous self-upskilling mindset. Why you will love this job: You will be challenged with leading and mentoring a small development team and h owning the technical aspects of the project You will have the opportunity to work in a growing organization, with ever growing opportunities for personal growth You will have the opportunity to work with the industry most sophisticated technologies! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Project Role : Software Configuration Lead Project Role Description : Ensure the product delivery and integrity during the overall product lifecycle. Increase efficiency by managing processes, resources and technologies to ensure the smooth flow of operations to meet cost, quality, controls and delivery targets. Requires working with individuals and teams from development through implementation across organizations. Must have skills : Microsoft Azure DevOps Good to have skills : A&D DefenseMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Configuration Lead, you will ensure the product delivery and integrity during the overall product lifecycle. Your typical day will involve managing processes, resources, and technologies to enhance efficiency and ensure a smooth flow of operations. You will collaborate with various teams, from development to implementation, to meet cost, quality, controls, and delivery targets, fostering a cohesive work environment that promotes productivity and innovation. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills and performance.- Monitor project progress and implement corrective actions as necessary to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure DevOps.- Good To Have Skills: Experience with A&D Defense.- Strong understanding of agile methodologies and project management principles.- Experience in integrating Azure DevOps with other tools and platforms.- Proficient in managing CI/CD pipelines and automating deployment processes. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure DevOps.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructure. Your typical day will involve collaborating with various teams to ensure the architecture's viability, security, and performance while creating proof of concepts to validate your designs. You will engage in hands-on development and troubleshooting, ensuring that the deployed solutions meet the highest standards of quality and efficiency. Additionally, you will be involved in continuous learning and adaptation to new technologies and methodologies in the cloud domain, contributing to the overall success of the projects you are part of. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of deployed solutions, making necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud architecture and deployment strategies.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.- Ability to implement security best practices in cloud environments. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Salesforce DevOps Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving discussions and contribute to the overall success of the projects you are involved in, while also focusing on continuous improvement and efficiency in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce DevOps.- Strong understanding of version control systems and deployment processes.- Experience with continuous integration and continuous deployment methodologies.- Familiarity with application monitoring and performance tuning.- Ability to troubleshoot and resolve application issues effectively. Additional Information:- The candidate should have minimum 3 years of experience in Salesforce DevOps.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Amazon Web Services (AWS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Amazon Web Services (AWS).- Strong understanding of cloud architecture and deployment strategies.- Experience with serverless computing and microservices architecture.- Familiarity with containerization technologies such as Docker and Kubernetes.- Ability to implement security best practices in cloud environments. Additional Information:- The candidate should have minimum 5 years of experience in Amazon Web Services (AWS).- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : ServiceNow IT Service Management Good to have skills : NAMinimum 0-2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring that all systems are optimized for performance and reliability. Roles & Responsibilities:- Expected to build knowledge and support the team.- Participate in Problem Solving discussions.- Assist in the documentation of processes and procedures to enhance team efficiency.- Collaborate with cross-functional teams to ensure seamless integration of cloud environments. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow IT Service Management.- Good To Have Skills: Familiarity with cloud infrastructure management.- Understanding of automation tools and scripting languages.- Experience with environment configuration and deployment processes.- Knowledge of best practices in cloud security and compliance. Additional Information:- The candidate should have minimum 0-2 years of experience in ServiceNow IT Service Management.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : Infrastructure As Code (IaC) Good to have skills : Hitachi Data Systems (HDS), Google Cloud Storage, Microsoft Azure DatabricksMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Integration Engineer, you will provide consultative Business and System Integration services to assist clients in implementing effective solutions. Your typical day will involve engaging with clients to understand their needs, facilitating discussions on transformation, and ensuring that the technology and business solutions align with their requirements. You will work collaboratively with various teams to translate customer needs into actionable plans, driving the customer journey and application designs to achieve optimal outcomes. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain documentation related to integration processes and solutions.- Infrastructure as Code (IaC):Knowledge of tools like Terraform, Terraform linkage, Helm, Ansible, ansible tower dependency and package management- Broad knowledge of operating systems- Network management knowledge and understanding of network protocols, configuration, and troubleshooting. Proficiency in configuring and managing network settings within cloud platforms- Security:Knowledge with cybersecurity principles and practices, implementing security frameworks that ensure secure workloads and data protection- Expert proficiency in Linux CLI- Monitoring of the environment from technical perspective.- Monitoring the costs of the development environment. Professional & Technical Skills: - Must To Have Skills: Proficiency in Infrastructure As Code (IaC).- Good To Have Skills: Experience with Hitachi Data Systems (HDS), Google Cloud Storage, Microsoft Azure Databricks.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and frameworks for infrastructure management.- Familiarity with version control systems and CI/CD pipelines.- Solid understanding of Data Modelling, Data warehousing and Data platforms design.- Working knowledge of databases and SQL.- Proficient with version control such as:Git, GitHub or GitLab- Solid understanding of Data warehousing and Data platforms design.- Experience supporting BAT teams and BAT test environments.- Experience with workflow and batch scheduling. Added advantage of Control-M and Informatica experience.- Good know-how on Financial Markets. Know-how on Clearing, Trading and Risk business process will be added advantage- Know-How on Java, Spark & BI reporting will be an added advantage.- Know-how of cloud platform and affinity towards modern technology an added advantage.- Experience in CI/CD pipeline and exposure to DevOps methodologies will be considered as added advantage. Additional Information:- The candidate should have minimum 5 years of experience in Infrastructure As Code (IaC).- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : Infrastructure As Code (IaC) Good to have skills : Microsoft Azure SentinelMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Integration Engineer, you will provide consultative Business and System Integration services to assist clients in implementing effective solutions. Your typical day will involve engaging with clients to understand their needs, facilitating discussions on transformation, and ensuring that the technology and business solutions align with their requirements. You will work collaboratively with various teams to translate customer needs into actionable plans, driving the customer journey and application designs to achieve optimal outcomes. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain documentation related to integration processes and solutions.- Develop, maintain, and test Hashicorp Terraform modules for infrastructure as code (IaC)- Design, implement, and manage Sentinel policies as code to enforce security and compliance standards- Collaborate with development, operations, and security teams to integrate security practices into the CI/CD pipeline- Automate infrastructure provisioning, configuration management, and application deployment processes- Monitor and troubleshoot infrastructure and application issues, ensuring high availability and performance- Conduct security assessments and audits to identify vulnerabilities and implement remediation measures- Stay up-to-date with the latest industry trends, tools, and best practices in DevSecOps, Terraform, and Sentinel Professional & Technical Skills: - Must To Have Skills: Proficiency in Infrastructure As Code (IaC).- Good To Have Skills: Experience with Microsoft Azure Sentinel.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and frameworks for infrastructure management.- Familiarity with version control systems and CI/CD pipelines.- Proven experience (min. 5 years) as a DevSecOps/Cloud Engineer or similar role- Strong expertise in Hashicorp Terraform and infrastructure as code (IaC) principles- Proficiency in developing and managing Sentinel policies as code- Experience with CI/CD tools such as GitHub, GitHub Actions, Jenkins, and JFrog Platform- Solid understanding of cloud platforms, specifically Google Cloud Platform (GCP) and Microsoft Azure- Knowledge of containerization technologies (Docker, Kubernetes) and orchestration- Familiarity with security frameworks and compliance standards (e.g., NIST, ISO 27001)- Certifications in Terraform, GCP, or Azure (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert).- Experience with scripting languages (Python, Bash, PowerShell).- Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack). Additional Information:- The candidate should have minimum 5 years of experience in Infrastructure As Code (IaC).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : ServiceNow IT Service Management Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring that all systems are optimized for performance and reliability. You will collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in troubleshooting and resolving technical issues related to cloud environments.- Collaborate with cross-functional teams to ensure alignment on project goals and deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow IT Service Management.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with configuration management tools.- Knowledge of IT service management best practices. Additional Information:- The candidate should have minimum 2 years of experience in ServiceNow IT Service Management.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Dynatrace Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in ensuring the smooth functioning of applications and meeting the needs of the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to define, design, and ship new features.- Develop high-quality software design and architecture.- Identify, prioritize, and execute tasks in the software development life cycle.- Conduct software analysis, programming, testing, and debugging.- Create and maintain technical documentation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Dynatrace Administration.- Strong understanding of application development and deployment processes.- Experience with monitoring and troubleshooting application performance.- Knowledge of software development methodologies and best practices.- Hands-on experience in implementing and configuring Dynatrace monitoring solutions. Additional Information:- The candidate should have a minimum of 3 years of experience in Dynatrace Administration.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Infrastructure as Code (IaC) Good to have skills : Microsoft Azure DevOpsMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are delivered on time and meet quality standards. Your role will require you to stay updated with the latest technologies and methodologies to enhance application performance and user experience. Roles & ResponsibilitiesAt least 5 years experience specifically dedicated to building and managing in Azure. Knowledge of Azure DevOps and CI/CD (YAML). Experience with PowerShell Knowledge of Azure services (Compute, Storage, Networking, Analytics). Proficiency in infrastructure as code (IaC) (ARM, Bicep). Knowledge of Role-Based Access Controls and Identity Access management (IAM). Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Infrastructure as Code (IaC).- Good To Have Skills: Experience with Microsoft Azure DevOps.- Strong understanding of cloud architecture and deployment strategies.- Experience with automation tools and scripting languages.- Familiarity with continuous integration and continuous deployment practices. Nice to havesReal-world experience in deploying, optimizing, and maintaining large-scale analytics platforms in production environments. Good understanding of network architecture and security. Azure Securityo Knowledge of Zero Toucho Knowledge of Defense in Deptho Knowledge of Zero Trust Qualification 15 years full time education

Role Purpose The purpose of this role is to work with Application teams and developers to facilitate better coordination amongst operations, development and testing functions by automating and streamlining the integration and deployment processes Do Align and focus on continuous integration (CI) and continuous deployment (CD) of technology in applications Plan and Execute the DevOps pipeline that supports the application life cycle across the DevOps toolchain from planning, coding and building, testing, staging, release, configuration and monitoring Manage the IT infrastructure as per the requirement of the supported software code On-board an application on the DevOps tool and configure it as per the clients need Create user access workflows and provide user access as per the defined process Build and engineer the DevOps tool as per the customization suggested by the client Collaborate with development staff to tackle the coding and scripting needed to connect elements of the code that are required to run the software release with operating systems and production infrastructure Leverage and use tools to automate testing & deployment in a Dev-Ops environment Provide customer support/ service on the DevOps tools Timely support internal & external customers on multiple platforms Resolution of the tickets raised on these tools to be addressed & resolved within a specified TAT Ensure adequate resolution with customer satisfaction Follow escalation matrix/ process as soon as a resolution gets complicated or isnt resolved Troubleshoot and perform root cause analysis of critical/ repeatable issues Deliver No Performance Parameter Measure 1. Continuous Integration,Deployment & Monitoring 100% error free on boarding & implementation 2. CSAT Timely customer resolution as per TAT Zero escalation Mandatory Skills: DevOps. Experience3-5 Years.

Summary. We are seeking a Junior DevOps Engineer to join our team. The ideal candidate will be responsible for supporting the development and deployment of software applications. The Junior DevOps Engineer will work closely with the development team to ensure that the software is deployed in a timely and efficient manner. The candidate should have a strong understanding of software development and deployment processes.. Responsibilities. Work with the development team to ensure that software is deployed in a timely and efficient manner. Develop and maintain deployment scripts and automation tools. Monitor and troubleshoot production systems. Collaborate with other teams to ensure that software is deployed in a consistent and reliable manner. Participate in the design and implementation of new systems and processes. Continuously improve the deployment process to increase efficiency and reduce downtime. Qualifications. Bachelor's degree in Computer Science or related field. Strong understanding of software development and deployment processes. Experience with automation tools such as Jenkins. Experience with Proxmox Virtual Environment is a must.. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies such as Docker or Kubernetes. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Show more Show less