15131 Containerization Jobs - Page 9

Job Title : Senior .NET Developer Experience: 7+ Years Location: Gurgaon(On-Side) JD Seeking a highly skilled and experienced Senior .NET Developer to join our team, working closely with customer teams. This role is pivotal in designing, developing, and, crucially, mentoring others in the adoption of modern Cloud Native Development practices. If you're passionate about pairing, fostering technical growth , and building robust microservices-based solutions with .NET and Podman, we want to hear from you. Key Responsibilities Lead the design, development, and implementation of high-quality, scalable, and secure microservices using C# and the .NET (Core) ecosystem. Drive the adoption and implementation of Continuous Delivery (CD) pipelines, ensuring efficient and reliable software releases for microservices. Highly skilled in Test-Driven Development (TDD) practices, writing comprehensive unit, integration, and end-to-end tests to ensure code quality and maintainability within a microservices architecture. Design, develop, and deploy .NET microservices within containers , leveraging inner loop practices Utilize Podman/Docker Compose (or similar multi-container tooling compatible with Podman) for local development environments and multi-service microservices application setups. Implement robust API Testing strategies, including automated tests for RESTful APIs across microservices. Integrate and utilize Observability tools and practices (e.g., logging, metrics, tracing) to monitor application health, performance, and troubleshoot issues effectively in a containerized microservices environment. Collaborate closely with product owners, architects, and other developers to translate business requirements into technical solutions, specifically focusing on microservices design. Play a key mentoring role, actively participating in pairing sessions, providing technical guidance, and fostering the development of junior and mid-level engineers in microservices development. Contribute to code reviews with an eye for quality, maintainability, and knowledge transfer within a microservices context. Actively participate in architectural discussions and contribute to technical decision-making, particularly concerning microservices design patterns, containerization strategies with Podman, and overall system architecture. Stay up-to-date with emerging technologies and industry best practices in .NET, microservices, and containerization, advocating for their adoption where appropriate. Troubleshoot and debug complex issues across various environments, including Podman containers and distributed microservices. Required Skills and Experience 7+ years of professional experience in software development with a strong focus on the Microsoft .NET (Core) ecosystem (ideally .NET 6+ or .NET 8+). Expertise in C# and building modern applications with .NET Core . Demonstrable experience designing, developing, and deploying Microservices Architecture. Demonstrable experience with Continuous Delivery (CD) principles and tools (e.g., Azure DevOps, GitLab CI/CD, Jenkins). Proven track record of applying Test-Driven Development (TDD) methodologies. Strong practical experience with Podman , including building and running .NET applications in Podman containers , and an understanding of its daemonless/rootless architecture benefits. Proficiency in using Podman Compose (or similar approaches) for managing multi-container .NET applications locally. Extensive experience with API Testing frameworks and strategies (e.g., Postman, Newman, SpecFlow, Playwright, XUnit/NUnit for integration tests). Deep understanding and practical experience with Observability principles and tools (e.g., Application Insights, Prometheus, Grafana, OpenTelemetry, ELK Stack, Splunk). Solid understanding of RESTful API design and development. Experience with relational databases (e.g., SQL Server, PostgreSQL) and ORMs (e.g., Entity Framework Core). Excellent mentorship and communication skills, with a passion for knowledge sharing and team development. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team.

Come build at the intersection of AI and fintech. At Ocrolus, we're on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system. Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world's most innovative lenders do business. We are looking for an exceptionally skilled Senior Software Enginee r with a solid technical background and leadership skills, able to work in a fast-paced environment, and help architect and build the next generation of our backend applications. What you'll do: Designing, implementing, and maintaining Microservices using Python. Designing and developing cloud based software products conforming to industry best practices. Build systems, services, and tools to handle new Ocrolus products and business requirements that securely scale over millions of transactions. Build and scale our fast-growing online services and data pipelines. Collaborate with other teams on security, reliability, and automation. Supporting the testing process, troubleshooting issues and resolving them. What you'll bring: Bachelor's degree in Computer Science or related field. 5+ years engineering experience. Expert in Python and experience in building complex systems and applications. Solid database skills (Postgres, MySQL etc) and data modeling experience. Experience with Web Frameworks like Spring, Flask, and related ecosystems Strong problem-solving and communication skills. Can contribute best-practices and architectural leadership to our backend applications and help pick the architecture, frameworks and tooling for our next generation platform. Experience leading and owning projects from beginning to end. Experience with agile methodologies and automated testing. Familiarity with containerization, microservices architecture, continuous integration, Amazon Web Services, and deployment. Life at Ocrolus We're a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence We believe diverse perspectives drive better outcomes. That's why we're committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together.

Job Title: Java Developer Location: Gurugram Experience: 3–5 Years Type: Full-time Role: Design, develop, test, and maintain scalable Java applications. Work with Spring Boot, Hibernate/JPA, REST APIs, and integrate with third-party systems. Collaborate with teams, write clean code, troubleshoot, and optimize performance. Requirements: 3–5 yrs Java development experience. Strong OOP, design patterns, data structures, and algorithms. Spring/Spring Boot, Hibernate/JPA, REST API expertise. SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB). Git, Maven/Gradle, CI/CD tools (Jenkins, GitLab CI). Unit testing (JUnit, Mockito). Knowledge of security best practices and API authentication (OAuth2/JWT). Familiarity with front-end basics (HTML, CSS, JavaScript). Preferred: Microservices architecture, event-driven systems (Kafka, RabbitMQ). Cloud platforms (AWS, Azure, GCP). Containerization and orchestration (Docker, Kubernetes). Performance tuning and profiling tools.

About The Opportunity We are a fast-growing innovator in the AI & Machine Learning sector, delivering enterprise-grade predictive analytics and intelligent automation solutions. Our team designs, trains, and scales ML models that drive real-time insights and decision-making across diverse industries. Join us on-site in India to build the next generation of data-driven products. Role & Responsibilities Design and implement end-to-end ML pipelines: data ingestion, preprocessing, training, deployment, and monitoring. Develop and fine-tune machine learning models (classification, regression, clustering) using Python frameworks like scikit-learn, TensorFlow, or PyTorch. Collaborate cross-functionally with Data Engineers, Data Scientists, and Product teams to translate business requirements into scalable ML solutions. Deploy and manage models in production on cloud platforms (AWS/Azure/GCP) leveraging containerization (Docker) and orchestration (Kubernetes). Monitor model performance, detect drift, and automate retraining workflows to maintain accuracy and reliability. Maintain code quality and reproducibility: version control (Git), CI/CD pipelines, documentation, and best practices for ML development. Skills & Qualifications Must-Have Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related field. 2+ years hands-on experience building and deploying ML models in production. Proficiency in Python and core ML libraries: scikit-learn, TensorFlow, PyTorch. Strong understanding of statistics, feature engineering, and model evaluation techniques. Experience with SQL/NoSQL databases and data processing tools (Pandas, Spark). Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) and containerization (Docker). Preferred Hands-on with Kubernetes or other orchestration tools for scalable deployments. Experience in NLP, computer vision, or time-series forecasting projects. Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow) for automated pipelines. Exposure to model interpretability methods (SHAP, LIME) and A/B testing in production. Benefits & Culture Highlights Competitive compensation with performance-linked bonuses. Collaborative, inclusive on-site culture fostering continuous learning and innovation. Regular team workshops, hackathons, and professional development support. Skills: kubernetes,aws,azure,ai/ml,pytorch,nosql,spark,sql,gcp,gen ai,feature engineering,python,scikit-learn,pandas,apache spark,machine learning algorithms,tensorflow,docker

About The Opportunity We are a fast-growing innovator in the AI & Machine Learning sector, delivering enterprise-grade predictive analytics and intelligent automation solutions. Our team designs, trains, and scales ML models that drive real-time insights and decision-making across diverse industries. Join us on-site in India to build the next generation of data-driven products. Role & Responsibilities Design and implement end-to-end ML pipelines: data ingestion, preprocessing, training, deployment, and monitoring. Develop and fine-tune machine learning models (classification, regression, clustering) using Python frameworks like scikit-learn, TensorFlow, or PyTorch. Collaborate cross-functionally with Data Engineers, Data Scientists, and Product teams to translate business requirements into scalable ML solutions. Deploy and manage models in production on cloud platforms (AWS/Azure/GCP) leveraging containerization (Docker) and orchestration (Kubernetes). Monitor model performance, detect drift, and automate retraining workflows to maintain accuracy and reliability. Maintain code quality and reproducibility: version control (Git), CI/CD pipelines, documentation, and best practices for ML development. Skills & Qualifications Must-Have Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related field. 2+ years hands-on experience building and deploying ML models in production. Proficiency in Python and core ML libraries: scikit-learn, TensorFlow, PyTorch. Strong understanding of statistics, feature engineering, and model evaluation techniques. Experience with SQL/NoSQL databases and data processing tools (Pandas, Spark). Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) and containerization (Docker). Preferred Hands-on with Kubernetes or other orchestration tools for scalable deployments. Experience in NLP, computer vision, or time-series forecasting projects. Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow) for automated pipelines. Exposure to model interpretability methods (SHAP, LIME) and A/B testing in production. Benefits & Culture Highlights Competitive compensation with performance-linked bonuses. Collaborative, inclusive on-site culture fostering continuous learning and innovation. Regular team workshops, hackathons, and professional development support. Skills: kubernetes,aws,azure,ai/ml,pytorch,nosql,spark,sql,gcp,gen ai,feature engineering,python,scikit-learn,pandas,apache spark,machine learning algorithms,tensorflow,docker

About The Opportunity We are a fast-growing innovator in the AI & Machine Learning sector, delivering enterprise-grade predictive analytics and intelligent automation solutions. Our team designs, trains, and scales ML models that drive real-time insights and decision-making across diverse industries. Join us on-site in India to build the next generation of data-driven products. Role & Responsibilities Design and implement end-to-end ML pipelines: data ingestion, preprocessing, training, deployment, and monitoring. Develop and fine-tune machine learning models (classification, regression, clustering) using Python frameworks like scikit-learn, TensorFlow, or PyTorch. Collaborate cross-functionally with Data Engineers, Data Scientists, and Product teams to translate business requirements into scalable ML solutions. Deploy and manage models in production on cloud platforms (AWS/Azure/GCP) leveraging containerization (Docker) and orchestration (Kubernetes). Monitor model performance, detect drift, and automate retraining workflows to maintain accuracy and reliability. Maintain code quality and reproducibility: version control (Git), CI/CD pipelines, documentation, and best practices for ML development. Skills & Qualifications Must-Have Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related field. 2+ years hands-on experience building and deploying ML models in production. Proficiency in Python and core ML libraries: scikit-learn, TensorFlow, PyTorch. Strong understanding of statistics, feature engineering, and model evaluation techniques. Experience with SQL/NoSQL databases and data processing tools (Pandas, Spark). Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) and containerization (Docker). Preferred Hands-on with Kubernetes or other orchestration tools for scalable deployments. Experience in NLP, computer vision, or time-series forecasting projects. Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow) for automated pipelines. Exposure to model interpretability methods (SHAP, LIME) and A/B testing in production. Benefits & Culture Highlights Competitive compensation with performance-linked bonuses. Collaborative, inclusive on-site culture fostering continuous learning and innovation. Regular team workshops, hackathons, and professional development support. Skills: kubernetes,aws,azure,ai/ml,pytorch,nosql,spark,sql,gcp,gen ai,feature engineering,python,scikit-learn,pandas,apache spark,machine learning algorithms,tensorflow,docker

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Title: AI/ML Associate Location : Bangalore (Hybrid) Department : Managed Services – Core Automation Team Job Overview We are seeking an experienced AI/ML Senior Associate to join our team focused on leveraging AI technologies to enhance operational efficiency in SAP managed services. The ideal candidate will have strong programming expertise in Python and hands-on experience in building AI solutions using market-leading large language models (LLMs) , as well as native cloud services (primarily AWS or Azure AI services ). Your role will center on developing intelligent solutions that automate processes, integrate AI models, and improve overall system performance within SAP environments. Key Responsibilities Design and implement AI solutions using Python and market-leading LLMs to drive automation and improve operational efficiency within SAP-managed services. Develop and integrate AI-powered applications using native AWS services (e.g., AWS Lex, AWS Lambda, Amazon Polly) or Azure AI services, focusing on process optimization and automation. Build and deploy conversational bots and AI-powered tools to support business processes in SAP environments, integrating AWS Lex, AWS Connect, or Azure Bot Services with existing systems. Leverage Python programming for building, testing, and deploying AI models, APIs, and automation workflows to enhance SAP system reliability and performance. Collaborate with cross-functional teams to integrate AI solutions with DevOps pipelines and ensure smooth deployments using CI/CD tools and cloud-native infrastructure. Design and manage serverless applications using AWS Lambda or Azure Functions to handle AI/ML workloads with scalability and high performance. Work with RESTful or GraphQL APIs to enable AI services, ensuring high standards for performance, security, and seamless integration with SAP systems. Contribute to the development of AI models, focusing on using LLMs for natural language understanding, predictive analytics, and automated decision-making. Collaborate with DevOps and integration teams to integrate AI solutions into SAP processes, ensuring end-to-end service excellence and operational success. Required Skills And Qualifications Minimum 2 years of experience in AI/ML development, focusing on Python programming and AI model development. Proven experience with Python for building AI solutions, API development, and automation. Hands-on experience with market-leading LLMs (e.g., OpenAI GPT, Google BERT, or similar) and applying these models in business process automation and optimization. Experience with AWS or Azure AI services, such as AWS Lex, AWS Lambda, Azure Cognitive Services, and Azure Bot Services (AWS expertise is preferred but Azure experience is also acceptable). Experience building and deploying conversational bots and IVR systems using AWS Lex or Azure Bot Services. Strong understanding of serverless architectures and cloud-native technologies such as AWS Lambda or Azure Functions. Experience with RESTful or GraphQL API design for seamless integration of AI models into business processes. DevOps background, with hands-on experience in CI/CD pipelines, containerization, and cloud deployment practices using AWS DevOps tools or Azure DevOps. Collaborative mindset with the ability to work cross-functionally with DevOps, integration, and automation teams to drive project success. Desired Skills And Qualifications Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and the ability to develop and fine-tune AI models. Knowledge of Agile methodologies for project management and team collaboration. Strong problem-solving skills, with the ability to troubleshoot and optimize AI models and cloud integrations. Certifications in AWS AI, Azure AI, or related AI/ML technologies are a plus. Experience Requirements A minimum of 2 years of experience in AI/ML, with expertise in Python, AI model development, and cloud-native AI services (AWS or Azure). Proven ability to design and deploy AI solutions using LLMs, serverless architectures, and cloud-based AI services. Education Requirements Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Relevant AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Fundamentals) are a plus. Work Environment Collaborative and dynamic team environment with an opportunity to work on cutting-edge AI/ML projects. Hybrid working model with a base in Bangalore, offering flexibility in working from the office and remotely. Cross-functional collaboration with DevOps, automation, and integration teams.

About The Opportunity We are a fast-growing innovator in the AI & Machine Learning sector, delivering enterprise-grade predictive analytics and intelligent automation solutions. Our team designs, trains, and scales ML models that drive real-time insights and decision-making across diverse industries. Join us on-site in India to build the next generation of data-driven products. Role & Responsibilities Design and implement end-to-end ML pipelines: data ingestion, preprocessing, training, deployment, and monitoring. Develop and fine-tune machine learning models (classification, regression, clustering) using Python frameworks like scikit-learn, TensorFlow, or PyTorch. Collaborate cross-functionally with Data Engineers, Data Scientists, and Product teams to translate business requirements into scalable ML solutions. Deploy and manage models in production on cloud platforms (AWS/Azure/GCP) leveraging containerization (Docker) and orchestration (Kubernetes). Monitor model performance, detect drift, and automate retraining workflows to maintain accuracy and reliability. Maintain code quality and reproducibility: version control (Git), CI/CD pipelines, documentation, and best practices for ML development. Skills & Qualifications Must-Have Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related field. 2+ years hands-on experience building and deploying ML models in production. Proficiency in Python and core ML libraries: scikit-learn, TensorFlow, PyTorch. Strong understanding of statistics, feature engineering, and model evaluation techniques. Experience with SQL/NoSQL databases and data processing tools (Pandas, Spark). Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) and containerization (Docker). Preferred Hands-on with Kubernetes or other orchestration tools for scalable deployments. Experience in NLP, computer vision, or time-series forecasting projects. Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow) for automated pipelines. Exposure to model interpretability methods (SHAP, LIME) and A/B testing in production. Benefits & Culture Highlights Competitive compensation with performance-linked bonuses. Collaborative, inclusive on-site culture fostering continuous learning and innovation. Regular team workshops, hackathons, and professional development support. Skills: kubernetes,aws,azure,ai/ml,pytorch,nosql,spark,sql,gcp,gen ai,feature engineering,python,scikit-learn,pandas,apache spark,machine learning algorithms,tensorflow,docker

Job Summary 1 U3 TERRAFORM RESOURCE :: 4 6+ years of experience as a cloud engineer with sound Knowledge of AWS Extended experience with IaC, PaC, automated single click deployment, configuration management, production support Proficiency in cloud based DevOps practices, specifically in Terraform. Expertise in containerization with Docker/Kubernetes and orchestration tools Ansible/ Puppet Knowledge of Shell scripting Skilled in system level architecture, like Linux or Window

We are seeking an experienced Full Stack Engineer with a minimum 5 years of expertise in Core Java development on Cloud environment. The ideal candidate should possess a deep understanding of Full Stack development using Java, REST APIs, and Containerization in Cloud AWS and GCP environments. Roles & Responsibilities Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation. Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools. Operates in cloud-based infrastructure across GCP, AWS, and Azure. Implement and support Kubernetes-based containerization workflows, including service deployment and resource optimization. Own the full lifecycle of systems—from requirements gathering to deployment and post-release support. Troubleshoot performance and reliability issues across the stack and work on platform hardening. Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability. Contribute to architectural decisions, technical design reviews, and code reviews; mentor junior team members where applicable. Qualifications 5+ years of experience in software engineering and Cloud platform operations in a large-scale or enterprise environment. Strong programming skills in Java (preferred), with experience in Spring Boot or similar frameworks. Bonus for front-end experience (React, Angular, or similar). Experience designing, deploying, and managing application in Kubernetes and Dockerized environments. Solid background in multi-cloud architecture and automation across GCP, AWS, or Azure. Familiarity with internal developer platforms and tools like JIRA, GitHub, Artifactory, SonarQube, and related systems. Comfortable with monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, or similar). Strong debugging and problem-solving skills across distributed systems, APIs, and infrastructure layers. Ability to translate platform needs into maintainable, performant code and configuration. Excellent communication skills with the ability to work across engineering and infrastructure domains.

Job Title: Senior .NET Developer Experience: 6–10 Years Location: Remote (Working Hours: 5 AM – 3 PM IST) Employment Type: Full-Time About the Role: We are seeking a seasoned and self-motivated .NET Developer with 6–10 years of experience to design, develop, and maintain scalable applications. The ideal candidate will have a strong background in backend development using Microsoft technologies and should be comfortable working independently in a remote, fast-paced environment aligned with early IST working hours. Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable code using .NET technologies (.NET Core/.NET Framework, C#). Develop RESTful APIs and integrate with front-end components. Collaborate with cross-functional teams including Product, QA, and DevOps. Optimize applications for performance, scalability, and maintainability. Participate in code reviews and provide constructive feedback. Troubleshoot and resolve complex technical issues in production and development environments. Write clean, testable, and well-documented code. Required Skills: Strong proficiency in C#, .NET Core/.NET Framework . Experience with Entity Framework , LINQ , and ADO.NET . Proficient in designing and consuming RESTful APIs and Web Services (SOAP/REST) . Solid knowledge of SQL Server , including stored procedures and performance tuning. Hands-on experience with Azure or other cloud platforms is a plus. Familiarity with CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitHub Actions. Good understanding of SOLID principles , OOP , and software architecture patterns (MVC, MVVM, etc.). Strong debugging, analytical, and problem-solving skills. Nice to Have: Experience with front-end frameworks like Angular or React. Knowledge of Microservices architecture . Exposure to containerization tools (Docker, Kubernetes).

About the Role We are looking for a System Architect with deep technical expertise in .NET Core , PostgreSQL , and React to lead the architecture and design of our next-generation software systems. In this role, you will define how the backend, frontend, and database layers work together to create scalable, secure, and maintainable solutions. You’ll work closely with developers, product managers, and DevOps to ensure our architecture supports fast development cycles and high-quality releases. Key Responsibilities Design scalable and maintainable architectures using .NET Core for backend services, PostgreSQL for data storage, and React for frontend applications. Define system-level architecture including service boundaries, data flow, API design, and deployment strategies. Create and maintain architecture documentation, diagrams, and technical specifications. Lead technology decisions, including frameworks, libraries, design patterns, and infrastructure. Review and guide implementation to ensure it aligns with architectural goals. Design and optimize relational data models using PostgreSQL. Ensure security, performance, and scalability are embedded in every layer of the system. Collaborate with frontend and backend developers, DevOps, and QA to ensure a smooth development lifecycle. Advocate for best practices in software engineering, code quality, testing, and deployment. Requirements 5+ years of software development experience with at least 2+ years in a software/system architect role. Strong hands-on experience with .NET Core (C#) in designing APIs and backend systems. Solid knowledge of PostgreSQL including schema design, indexing, and performance tuning. Experience with React and understanding of modern frontend architecture. Deep understanding of software design principles and architectural patterns (e.g., microservices, clean architecture, layered architecture). Familiarity with containerization (e.g., Docker) and CI/CD processes. Knowledge of RESTful APIs, authentication (OAuth/JWT), and API versioning. Excellent communication skills and ability to translate business requirements into technical designs. Nice to Have Experience with cloud platforms (e.g., Azure, AWS). Familiarity with GraphQL, WebSocket's, or real-time data systems. Exposure to DevOps tools like GitHub Actions, Azure DevOps, or Jenkins. Experience in Agile development environments. What We Offer Competitive salary based on experience Flexible hours Supportive, collaborative, and skilled team Opportunities for professional growth and training Access to the latest tools and tech stack Overseas travel

About Mitsogo | Hexnode: Mitsogo is a global organization that highly values the contributions of each employee. Our ability to attract top talent is a testament to our commitment to fostering a sense of belonging for everyone. We recognize the rapid evolution of technology and society that impacts our industry, and we prioritize equipping our employees with diverse opportunities and empowering them with a wide range of skills. Hexnode, the Enterprise software division of Mitsogo Inc., was founded to simplify how people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse sectors. Fueling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. Job Overview: We are seeking a skilled DevOps - Lead with hands on experience with Ansible, scripting languages, and AWS. This role requires someone with hands-on expertise to quickly adapt and provide the leadership necessary to guide teams effectively. The DevOps Lead will play a key role in managing ongoing projects, mentoring junior team members, and ensuring streamlined workflows for optimal performance. Responsibilities: Lead a team of engineers and technical specialists in the design, implementation, and maintenance of cloud-based infrastructure. Oversee the development and execution of automation workflows using Ansible and scripting languages (e.g., Python, Bash, etc.) to improve operational efficiency. Take charge of cloud infrastructure provisioning, configuration, and deployment using AWS services, ensuring high availability, scalability, and security. Collaborate with cross-functional teams to define project requirements, develop solutions, and ensure successful project delivery. Mentor and guide junior engineers, providing technical expertise and fostering professional development. Troubleshoot and resolve complex infrastructure and automation issues in a timely manner. Ensure that team activities align with the company's strategic goals, and maintain best practices in coding, system design, and infrastructure management. Monitor and optimize system performance, reliability, and security of cloud infrastructure. Contribute to the development and improvement of operational processes, including CI/CD pipelines and infrastructure-as-code practices. Requirements: Experience: 5 - 9 years of hands-on experience in cloud infrastructure, automation, or DevOps-related roles. Scripting Languages: Strong expertise in Python, Bash, or similar scripting languages for automation and tool development. Ansible: In-depth experience with Ansible for configuration management, automation, and orchestration tasks. AWS: Proven experience in working with Amazon Web Services (AWS), including services such as EC2, S3, Lambda, CloudFormation, RDS, and VPC. CI/CD Pipelines: Knowledge of continuous integration and deployment processes using tools such as Jenkins, GitLab, or similar. Containerization and Orchestration: Familiarity with Docker, Kubernetes, and container orchestration tools. Leadership: Strong leadership and mentoring skills, with the ability to manage and inspire a team of engineers. Problem-Solving: Excellent troubleshooting, diagnostic, and performance optimization skills. Collaboration: Strong interpersonal and communication skills to work effectively across teams and stakeholders.

About The Opportunity A leading IT services and digital integration firm specializing in enterprise application connectivity and automation. We empower clients across banking, retail, healthcare, and manufacturing to drive digital transformation through scalable API-led architectures and robust integration frameworks. Join our team to architect, build, and optimize mission-critical MuleSoft solutions that streamline business processes and amplify system interoperability. Role & Responsibilities Design, develop, and deploy integration solutions on MuleSoft Anypoint Platform, including APIs, connectors, and Mule flows. Leverage DataWeave to perform complex data transformations between JSON, XML, CSV, and database formats. Collaborate with enterprise architects, business analysts, and QA teams to gather requirements, define integration patterns, and ensure end-to-end system reliability. Implement CI/CD pipelines using tools like Jenkins or GitLab to automate build, test, and deployment processes for Mule applications. Troubleshoot, debug, and optimize existing integrations, monitoring performance metrics and resolving defects in production. Document technical designs, code standards, and runbooks; participate in peer code reviews and mentor junior developers on best practices. Skills & Qualifications Must-Have 3+ years of hands-on experience developing with MuleSoft Anypoint Platform (Mule 3.x/4.x, Studio). Strong proficiency in DataWeave scripting for data mapping and transformation tasks. Solid understanding of API design principles (RAML/OpenAPI) and experience configuring Mule API Gateway. Working knowledge of Java or JavaScript for custom component development and scripting. Experience integrating with SOAP/REST web services, JMS queues, JDBC databases, and cloud endpoints. Familiarity with version control systems (Git) and CI/CD automation tools (Jenkins, GitLab CI). Preferred MuleSoft Certified Developer (Mule 4) or MuleSoft Certified Integration Architect credentials. Exposure to containerization (Docker) and orchestration (Kubernetes) for Mule application deployment. Experience with cloud platforms (AWS, Azure) and their integration services (API Gateway, EventHub). Background in event-driven architecture and microservices design patterns. Domain experience in finance, healthcare, or e-commerce integration projects. Benefits & Culture Highlights Competitive compensation with performance-based incentives and annual reviews. On-the-job training, certification support, and access to an extensive technical learning library. Collaborative, innovation-driven environment with cross-functional teams and knowledge-sharing forums. Skills: azure,gitlab ci,mulesoft,java,dataweave,mule api gateway,jms,docker,mule 4,mulesoft anypoint platform,jenkins,soap,rest,javascript,openapi,raml,git,api design principles,kubernetes,jdbc,aws

Job Description Vice President, Full-Stack Engineer I At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Full-Stack Engineer I to join our Data Solution & SVCS Platform team. This role is located in Pune. In this role, you’ll make an impact in the following ways: Design, develop, and maintain backend services and RESTful APIs using Java (Spring Boot or similar frameworks) Work closely with product, QA, operations, and business stakeholders to understand requirements and translate them into technical solutions Build and manage CI/CD pipelines to enable automated testing, deployment, and continuous delivery Participate actively in SAFe Agile ceremonies including PI planning, sprint planning, and retrospectives Collaborate with DBAs and data architects to ensure performant and accurate data handling within the Client Data Masters platform Contribute to front-end development as needed using modern JavaScript frameworks Ensure code quality and maintainability through code reviews, automated tests, and clean design Support production systems, troubleshoot issues, and implement sustainable fixes To be successful in this role, we’re seeking the following: 10–12 years of full stack development experience with strong emphasis on backend/API development Proficient in Java, Spring/Spring Boot, and RESTful API design Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions Experience working in Scaled Agile Framework (SAFe) or similar large-scale agile delivery environments Familiarity with front-end technologies (React, Angular, HTML, CSS, JavaScript) Strong understanding of relational databases (e.g., Oracle, PostgreSQL) and ability to write complex SQL queries Experience with source control systems (Git) and build automation Excellent communication and collaboration skills for working with cross-functional teams Proficiency in Jira, Confluence, and similar collaboration and project tracking tools Preferred Qualifications Strong DB performance tuning, data modeling, and ETL experience Exposure to client data domains in financial services or regulated environments Experience with microservices, containerization (Docker), and orchestration (Kubernetes) Familiarity with cloud environments (AWS, Azure, or GCP) Knowledge of messaging platforms (Kafka, MQ) and event-driven architecture At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a Few Of Our Recent Awards America’s Most Innovative Companies, Fortune, 2025 World’s Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VOIS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Description Role purpose: Automation Developer with Strong knowledge on Java, Selenium, open-source development responsible for ensuring the development, maintenance of Automation framework which will be used by multiple teams. Candidates should lead framework transition, create roadmap and overall delivery plan. Advanced knowledge of Java, Python, JavaScript, Groovy Java Ecosystem - Apache Maven, Gradle, Spring: Core, Data, MVC, Web, Lombok Selenium, Concordion, Test Automation & Test Strategy, Spock, Junit, Mockito, HTML, CSS, XPath GIT, Linux, Atlassian Stack, including X-Ray test management software for JIRA, Passbolt API Github, Renovate, Ansible, Shell scripting & Unix tools IDE: IntelliJ, IntelliJ Plugin Development CI/CD: Jenkins, Jenkins Job DSL, Github Actions DB : SQL, Oracle Database, Oracle SQL Developer, JDBC, JPA, Hibernate Networking & protocol skills: SSH, HTTP, REST, JSON, OpenAPISOAP, JAX-WS, XML, WSDL, SOAP-UI Weblogic, Apache Tomcat Kubernetes, Helm, Containerization (e.g., Docker), AWS ecosystem Spring Boot, Microservices Infrastructure-as-Code, GitOps GitHub Actions & Runners, ArgoCD Open Telemetry (Java APIs), Grafana, Postgres Additional Skills Communication skills. Proficiency in spoken and written English Scrum Willingness to work on agent-facing applications with German frontend and digging through historic, non-translated German documentation as needed Willingness to train onboard and support less technical users Handling diverse stakeholders and getting to know their business domains Working with a very large, diverse system stack, including multiple legacy systems Sense of Responsibility/Ownership/Initiative to refactor & continuously improve VOIS Equal Opportunity Employer Commitment India VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Job Description Position Overview We are seeking an experienced Senior DevOps Lead to spearhead our DevOps transformation and lead a high-performing team of DevOps engineers. This role combines strategic leadership with hands-on technical expertise, requiring someone who can manage complex cloud and hybrid infrastructure while ensuring security compliance and operational excellence. Key Responsibilities Team Mentoring Lead and mentor a team of 5-8 DevOps engineers, fostering growth and technical excellence Establish DevOps best practices, standards, and processes across the organization Collaborate with cross-functional teams including development, security, and operations Drive continuous improvement initiatives and innovation in DevOps practices DevOps & Platform Management Design and implement scalable CI/CD pipelines for cloud and hybrid environments Manage containerized applications using Kubernetes orchestration Architect and maintain infrastructure as code using Terraform Implement monitoring and observability solutions using Grafana and Prometheus Manage deployment strategies including blue-green, canary, and rolling deployments Security Operations (SecOps) Integrate security practices into DevOps workflows (DevSecOps) Coordinate and manage Vulnerability Assessment and Penetration Testing (VAPT) activities Ensure timely closure of security vulnerabilities and compliance issues Implement security scanning and monitoring tools in CI/CD pipelines Collaborate with security teams to maintain security posture Compliance & Audit Management Lead ISO audit preparations and manage audit cycles Ensure compliance with industry standards and regulatory requirements Maintain documentation for audit trails and compliance reporting Implement controls and processes to meet ISO 27001, SOC 2, and other relevant standards Coordinate with internal and external auditors Technical Leadership Hands-on implementation and troubleshooting of complex infrastructure issues Design cloud architecture solutions on AWS platform Manage Helm charts and Kubernetes cluster operations Optimize system performance and cost management Provide technical guidance for architectural decisions Required Qualifications Technical Skills Containerization & Orchestration: Expert-level Kubernetes administration and Docker containerization Cloud Platforms: Advanced AWS services knowledge (EC2, EKS, RDS, S3, IAM, VPC, etc.) Infrastructure as Code: Proficiency in Terraform for infrastructure provisioning and management Package Management: Experience with Helm for Kubernetes application deployment Monitoring & Observability: Hands-on experience with Grafana dashboards and Prometheus metrics CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar platforms Scripting: Python, Bash, or PowerShell for automation Version Control: Git workflows and branching strategies Security & Compliance Experience with vulnerability management and VAPT coordination Knowledge of security frameworks (OWASP, NIST, etc.) ISO 27001, SOC 2, or similar compliance experience Security tools integration (SAST, DAST, SCA) Incident response and security monitoring Leadership & Management 8+ years of DevOps experience Experience with agile methodologies and project management Strong communication and stakeholder management skills Budget management and vendor relationship experience Preferred Qualifications AWS Certified Solutions Architect or DevOps Engineer certification Certified Kubernetes Administrator (CKA) or Certified Kubernetes Security Specialist (CKS) Terraform Associate or Professional certification Experience with multi-cloud or hybrid cloud environments Knowledge of GitOps practices (Jenkins, ArgoCD, Flux) Experience with service mesh technologies (Istio, Linkerd) check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#9647FD;border-color:#9647FD;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

We are seeking a highly skilled Senior Software Engineer with deep expertise in Java and AWS to join our team. The successful candidate will play a critical role in designing and implementing robust data integration solutions, enhancing system performance, and leveraging modern cloud technologies to drive business innovation. Responsibilities Design and develop Java-based connectors, REST APIs, and components to enable seamless data integration between systems Collaborate with cross-functional teams to analyze business requirements and deliver technical solutions Implement data pipelines and ETL/ELT processes to ensure accurate and consistent data flow Optimize performance and efficiency of data workflows by utilizing AWS services and Java best practices Contribute to code reviews, testing, and deployment to ensure high-quality deliverables Ensure compliance with project requirements, deadlines, and technical standards Stay updated on emerging trends and advancements in Java, cloud computing, and data-driven technologies Provide technical guidance and mentorship to junior engineers Requirements 4.5+ years of experience in software development with a focus on Java and frameworks like Spring, Hibernate, JUnit Strong understanding of RESTful APIs, data integration patterns, and data modeling techniques Knowledge of SQL, Python or Bash scripting, and version control tools like Git Proficiency in building and maintaining data ingestion, transformation, and ETL/ELT processes Competency in leveraging AWS services like EC2, S3, and Lambda for cloud-based solutions Ability to work effectively in Agile environments and collaborate across diverse teams Strong analytical and problem-solving skills to troubleshoot and optimize complex systems Nice to have Background in big data tools such as Apache Kafka or Apache Spark Familiarity with containerization solutions like Docker and Kubernetes Expertise in data governance, data quality assurance, and security standards Understanding of Snowflake data warehousing concepts and query performance tuning Certifications in Java or AWS technologies

We are looking for a Lead Back-end Developer to join our team. You will play a key role in designing and implementing back-end solutions using Java and related technologies. If you are passionate about software development and eager to lead a team, we encourage you to apply. Responsibilities Develop, enhance and maintain code Build back-end microservices and REST APIs Conduct unit testing Perform code reviews Adhere to best practices including code review and CI Participate in SCRUM ceremonies Engage in estimation and planning sessions Mentor junior developers and collaborate with peers Requirements Bachelor's degree in computer science or related field 8+ years of software development experience Hands-on experience with Java and Spring Framework Understanding of APIs and microservices architecture Proficiency in Kafka Nice to have Master's degree in computer science Experience in financial services, particularly wealth management Familiarity with CI/CD practices Knowledge of cloud platforms Experience with containerization technologies

At IF MedTech, we are dedicated to revolutionizing healthcare through cutting-edge medical device design, development, and pilot manufacturing. Our global team collaborates with experts across medical, engineering, business, and research domains to bring innovative solutions that enhance healthcare and improve lives. Join us in our mission to drive innovation and make a global impact in the medical technology sector. Responsibilities: ● Develop and optimize Android-native components using Java/Kotlin. ● Collaborate with the Flutter developer to integrate Android modules into cross-platform builds. ● Ensure secure data handling, storage, and permissions in compliance with HIPAA. ● Support responsive and accessible UI integration for mobile and web interfaces. ● Design, develop, and maintain backend services using Python FastAPI and Java. ● Implement RESTful and GraphQL APIs for seamless data flow between devices, apps, and servers. ● Apply Java frameworks such as Spring Boot where applicable for service development. ● Optimize backend services for high-volume, low-latency medical data processing. ● Work with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB). ● Design efficient schemas and implement secure data access patterns. ● Ensure database architecture supports scalability, redundancy, and compliance. ● Deploy and manage applications on AWS (EC2, S3, RDS, Lambda, API Gateway, etc.). ● Set up CI/CD pipelines for automated build, test, and deployment. ● Use Docker for containerization and reproducible environments. ● Monitor and optimize cloud resource usage for cost efficiency. ● Adhere to ISO 13485 and HIPAA standards for medical software development. ● Participate in code reviews, unit testing, and automated quality checks. ● Maintain proper documentation as per medical device software lifecycle requirements. Qualifications: ● Bachelor’s degree in Computer Science, Software Engineering, or a related field. ● Experience: 2–4 years in full-stack development with proven backend and Android expertise. ● Must-have: Proficiency in Java for Android and backend services. ● Plus: Knowledge of Spring/Spring Boot. ● Strong in Python (FastAPI). ● Proficiency in AWS services and deployment pipelines. ● Experience with relational and NoSQL databases. ● Familiarity with HIPAA and ISO 13485 guidelines. ● Hands-on with Git, Docker, CI/CD workflows. ● Ability to work independently and collaborate effectively. ● Strong problem-solving, adaptability, and attention to detail. Join IF MedTech to drive innovation in healthcare technology and develop software solutions that transform lives worldwide!

Job Title: Python Full-Stack Developer - Bangalore/ Pune About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Title: Python Full-Stack Developer Location: Bangalore/ Pune Work Mode: Hybrid (3 days WFO - Tues, Wed, Thurs) Shift Time: 12.30 PM TO 9.30 PM Job Summary: We are seeking a skilled and motivated Python Full-Stack Developer with a strong emphasis on backend development to join our growing team. This role is ideal for someone who thrives in an Agile environment and is eager to contribute to building robust, scalable web applications and data-driven systems. The ideal candidate will have hands-on experience with Snowflake, Python web frameworks, and a solid understanding of object-oriented programming principles. You'll collaborate closely with cross-functional teams to design, develop, and maintain full-stack solutions that power critical business functions. Key Responsibilities Design, develop, and maintain backend services using Python and frameworks such as Flask, FastAPI, or Django. Integrate and manage data pipelines with Snowflake and SQL-based sources. Build and maintain basic frontend components using React (beginner level acceptable). Apply object-oriented design principles to build maintainable and scalable codebases. Collaborate with other engineering teams to ensure smooth delivery and deployment of features. Troubleshoot and resolve performance issues, bugs, and technical challenges. Write clear, maintainable code and contribute to code reviews and documentation. Mandatory Qualifications & Skills Proficiency in Python with strong understanding of object-oriented programming concepts. Hands-on experience with Pandas for data manipulation. Proficient in SQL and working knowledge of Snowflake. Exposure to Python web frameworks such as Flask, FastAPI, or Django. Basic experience with React and frontend development principles. Familiarity with Agile/Scrum methodologies and tools such as Jira. Good at analytical skills, problem solving and communicating technical concepts clearly. Nice-to-Have Skills Experience with AWS cloud services. Familiarity with Git version control workflows. Exposure to CI/CD pipelines and modern deployment practices. Understanding of Software Development Life Cycle (SDLC) processes. Experience with containerization tools like Docker Preferred Experience 3–5 years of professional experience in software development. Background in data-centric applications, SaaS platforms, or enterprise web systems is a plus. Prior experience working in cross-functional Agile teams. If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively. As an engineer, you will work alongside a team of dedicated and skilled professionals, all driven by the mission to “build a secure, scalable, and reliable remote fitting solution that enables WSA to deliver remote care to its customers.” What you will do Take an active role in the entire development lifecycle, starting from backlog refinement to implementation and deployment. Collaborate closely with team members to influence architecture and make key technical decisions. Design and implement scalable, secure, and high-performing solutions aligned with business and technology strategies. Write clean, maintainable, and well-tested code using unit and integration tests. Troubleshoot, resolve bugs, and optimize performance across services and applications. Contribute to continuous improvement by identifying and addressing technical debt. Discover, evaluate, and implement new ideas & technologies. What you bring BE/B.Tech degree in Computer Science, Software Engineering, or a related field. 3-5 years of hands-on experience in software development, with good expertise in .NET and C#. Good understanding of Object-Oriented Programming (OOP), SOLID principles and common design patterns Exposure designing and building Microservices and REST APIs. Exposure to working with Microsoft Azure cloud services and Microservices Architecture. Exposure to containerization (Docker, Kubernetes). Interest or exposure to mobile application development using .NET MAUI, Native Android, or iOS. Willingness to contribute to web development using React (prior experience is a plus). At WS Audiology, we provide innovative hearing aids and hearing health services. Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world. With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes. Sounds wonderful? We can't wait to hear from you. WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

We are seeking a highly skilled and motivated Senior Software Engineer specializing in Java and AWS to join our dynamic team. In this role, you will play a pivotal part in designing and implementing cutting-edge solutions that drive data integration and cloud-based application development. If you are passionate about creating scalable, secure, and efficient systems, we would love to hear from you. Responsibilities Design and develop Java-based connectors, REST APIs, and key components to facilitate seamless data integration between applications and platforms Collaborate with cross-functional teams to assess business requirements and define technical approaches Implement ETL pipelines and processes within Java applications to handle robust data workflows Optimize workflows and application performance by leveraging AWS services and adherence to development best practices Support deployment, integration, and troubleshooting of AWS cloud-native architectures Conduct code reviews and participate in quality assurance to ensure maintainable and high-quality deliverables Stay informed about emerging technologies and trends, incorporating new strategies into development processes Requirements Proficiency in Java and its frameworks such as Spring, Hibernate, and JUnit Strong understanding of RESTful APIs, data modeling concepts, and integration patterns Knowledge of database systems including SQL, and scripting capabilities with Python and Bash Background in data ingestion, transformation, ETL/ELT pipelines, and workflows Experience with Git or other version control systems in Agile development environments Skills in problem-solving, troubleshooting, and analytical reasoning Familiarity with AWS services such as EC2, S3, and Lambda Nice to have Understanding of big data technologies like Apache Kafka and Apache Spark Knowledge of containerization tools such as Docker and Kubernetes Awareness of data governance, security, and quality standards Familiarity with Snowflake data warehousing and query optimization techniques Showcase of certifications in service-based frameworks like AWS or Java

Job Description: Senior QA Automation Engineer App Store QA Automation Engineer – Are you passionate about test automation and eager to drive quality through advanced automated testing strategies? Join Deloitte's App Store team as a Senior QA Automation Engineer and lead the development of comprehensive automated testing frameworks for our internal app marketplace platform. Work You'll Do As a Senior QA Automation Engineer (Senior Consultant, USI), you will lead the design, development, and execution of automated testing strategies for Deloitte's internal app marketplace. You'll collaborate with global product, development, and DevOps teams to build robust automated testing frameworks that ensure delivery of secure, high-performing features with minimal manual intervention. Key Responsibilities: Test Planning & Strategy : Analyze business and functional requirements to develop comprehensive test plans and strategies. Review plans with technical leads and stakeholders to ensure alignment. Test Case Development : Write detailed, comprehensive test cases and scenarios based on requirements and user stories for both manual and automated execution. Automated Testing : API Automation : Design and implement automated test suites for RESTful APIs and microservices using tools like REST Assured, Postman/Newman, or similar frameworks. UI Automation : Develop and maintain end-to-end automated UI test frameworks using Selenium, Cypress, Playwright, or similar tools. Framework Development : Build and maintain scalable, reusable automated testing frameworks that support parallel execution and integrate with CI/CD pipelines. Test Execution : Execute end-to-end test cases, including manual and automated tests, as part of each sprint. Conduct functional, regression, integration, performance, and security testing as defined in the test strategy. Defect Management : Identify, document, and log defects with clear steps to reproduce, severity, and environment details. Work with development teams to ensure timely resolution. CI/CD Integration : Integrate automated tests into CI/CD pipelines to ensure continuous quality checks on every build and deployment. Reporting & Analysis : Analyze test results, generate quality metrics, and provide regular, automated reports to stakeholders. Collaboration & Mentorship : Collaborate with product managers, developers, and DevOps engineers to ensure full test coverage. Lead test automation initiatives, establish best practices, and mentor team members. Documentation : Maintain clear and detailed documentation of QA processes, standards, and test cases. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field 4+ years of experience in software quality assurance or testing roles with a strong focus on test automation Advanced experience with test automation tools and frameworks (e.g., Selenium, Cypress, Playwright, REST Assured, TestNG, JUnit) Strong understanding of QA methodologies, software development life cycle (SDLC), and Agile processes Extensive experience testing web applications, APIs, and backend services through automated frameworks Programming skills in Java, Python, JavaScript, or C# with object-oriented design principles Familiarity with defect tracking and test management tools (e.g., GitHub Projects, Zephyr) Excellent analytical, problem-solving, and communication skills Ability to work effectively with geographically distributed teams and stakeholders across time zones Strong understanding of version control systems (Git) and branching strategies Experience with containerization (Docker) and cloud platforms Preferred Qualifications: Experience with cloud-based platforms (AWS, Azure, or GCP) Exposure to performance and security testing tools and automation frameworks Knowledge of CI/CD pipelines and integration of automated tests Experience with digital marketplaces, app stores, or SaaS platforms Relevant certifications (e.g., ISTQB, CSTE) Experience with microservices architecture testing Understanding of database testing and SQL Knowledge of mobile automation testing (Appium, etc.)

Job Title: Senior .NET Architect - Part-Time Remote – India Shift Timing: 7:30 PM – 11:30 PM IST (Monday to Friday) Commitment: 4 hours/day, 5 days/week Duration: Contract-Based About The Role We are looking for an experienced and highly skilled Senior .NET Architect to join our team on a part-time basis . This is a remote role with a fixed evening shift, ideal for someone looking to contribute to impactful projects in a flexible engagement. As a .NET Architect, you will play a critical role in designing scalable, secure, and high-performing architecture for enterprise-grade applications. You must be available for regular video calls to actively discuss and collaborate on architectural decisions with the development team and stakeholders. Key Responsibilities Define, design, and oversee implementation of scalable .NET architecture for web and cloud-based applications. Collaborate closely with developers, product managers, and other stakeholders during evening hours. Lead architectural discussions over video calls; ensure clear communication of design decisions. Review code and provide mentorship to development teams. Identify and resolve architectural risks and issues. Ensure best practices in software development, including performance optimization, security, and maintainability. Keep documentation of architecture decisions and design artifacts up to date. Required Skills & Qualifications 10-15 years of experience in software development, with at least 4 years in an architecture or lead role. Strong expertise in .NET 4.8/.NET Core 6/7/8, C#, and ASP.NET MVC/Web API. Proficient in micro services architecture, RESTful APIs, and distributed systems. Experience with cloud platforms (Azure preferred). Solid understanding of DevOps practices, CI/CD pipelines, containerization (Docker/Kubernetes) is a plus. Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. Comfortable working in a remote, collaborative team environment. Must have a reliable internet connection and a suitable environment for video conferencing. Good To Have Exposure to front-end frameworks like Angular or React. Experience with database architecture (SQL Server, NoSQL, etc.). Previous experience working with global teams.