GalaxEsystems (GES) is a people centric organization that is driven by creativity, collaboration, and continuous innovation. We offer a collaborative culture that is built around team work to deliver innovative solutions to complex business problems for our clients.
GES is always looking for professionals that are passionate, analytical, and looking forward to embrace challenges that provide solutions to our clients.
Be a part of a company that values growth and innovation, offers a collaborative culture, work-life balance, competitive compensation, within an open culture of diversity and inclusion.
The DevOps Engineer will streamline and automate the software development lifecycle through continuous integration and deployment (CI/CD) practices. They will collaborate with development and operations teams to improve system reliability and efficiency. Responsibilities include monitoring system performance, troubleshooting issues, and implementing infrastructure as code. The engineer will also manage cloud services and ensure security best practices are followed. Proficiency in scripting languages and experience with containerization (Docker, Kubernetes) are essential.
The Cloud Engineer is responsible for designing, implementing, and managing cloud-based solutions to support business operations. They will assess cloud architecture and provide recommendations for optimizing performance and cost-efficiency. Key responsibilities include deploying cloud services, monitoring cloud resources, and ensuring system security. The engineer will also collaborate with development teams to integrate applications into the cloud environment. Experience with major cloud platforms (AWS, Azure, GCP) is required.
The AI Specialist will develop and implement advanced machine learning algorithms and AI models to drive business insights and innovation. They will analyze large datasets, extract meaningful patterns, and deploy AI solutions across various applications. Responsibilities include collaborating with cross-functional teams, conducting experiments, and optimizing models for performance. A strong background in statistics, programming (Python, R), and AI frameworks (TensorFlow, PyTorch) is required.
The Data Architect will design and manage data systems and architecture to support organizational data needs. Responsibilities include developing data models, ensuring data quality, and optimizing data storage solutions. They will collaborate with stakeholders to define data requirements and create data governance policies. The architect will also evaluate new technologies for data management and analytics. Proficiency in database technologies and data warehousing solutions is essential.
The SAP Utility Consultant will implement and support SAP solutions tailored to the utility industry. Responsibilities include analyzing business requirements, configuring SAP modules, and providing training to end-users. The consultant will work closely with clients to ensure effective system integration and process optimization. Strong knowledge of utility industry standards and SAP best practices is required, alongside experience in project management and client engagement.
The AWS Architect will design and manage scalable, secure, and resilient cloud architectures on Amazon Web Services. Responsibilities include assessing existing systems, migrating applications to the cloud, and optimizing AWS resources for performance and cost. The architect will collaborate with development teams to implement best practices in cloud security and governance. Proficiency in AWS services and certifications (e.g., AWS Certified Solutions Architect) is essential.
The Mulesoft Engineer will develop and maintain integration solutions using the Mulesoft Anypoint Platform. Responsibilities include designing APIs, implementing data flows, and ensuring seamless connectivity between systems. The engineer will collaborate with business stakeholders to gather requirements and perform testing and debugging of integrations. Strong knowledge of API management and experience with Java or other programming languages is required.
The Java Architect will lead the design and development of Java-based applications and systems. Responsibilities include defining system architecture, establishing coding standards, and ensuring best practices are followed throughout the development lifecycle. The architect will provide technical guidance to development teams and collaborate with stakeholders to ensure alignment with business goals. Extensive experience in Java frameworks (Spring, Hibernate) and microservices architecture is essential.
The Databricks Engineer will design and implement big data solutions using Databricks and Apache Spark. Responsibilities include developing ETL processes, optimizing data pipelines, and ensuring data quality and integrity. The engineer will collaborate with data scientists and analysts to support analytics initiatives and data-driven decision-making. Proficiency in Scala or Python, as well as experience with data warehousing and cloud platforms, is required.
The Enterprise Architect will develop and maintain the architectural framework that aligns IT strategy with business goals. Responsibilities include assessing existing IT systems, defining architectural standards, and guiding technology investments. The architect will collaborate with stakeholders across the organization to ensure interoperability and scalability of IT solutions. A strong background in enterprise architecture frameworks (TOGAF, Zachman) and experience in project management is essential.
