Infosys
Infrastructure Support Engineer Technology Lead - US
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Job details
Work Location
State / Region / Province
Florida, Texas
Country
USA
Skills
Process|Development process generic|Big Data Analytics Process
Domain
Delivery
Interest Group
Company
ITL USA
Requisition ID
136479BR
Infosys is seeking an
Infrastructure Support Engineer
to support and maintain scalable, secure, and high-performing data infrastructure environments. This role focuses on supporting ETL platforms, Big Data tools, and automation in a Unix/Linux environment.
Required Qualifications: Candidate must be located within commuting distance of
Tampa, FL,
or
Dallas, TX,
or be willing to relocate to the area. This position may require travel. Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education At least 4 years of Information Technology experience At least 4 years of experience in ETL infrastructure support and implementation. Strong Unix/Linux administration and scripting skills (Shell, Bash). Hands-on experience with Ab Initio (GDE, EME basics) and Big Data tools (Hive, Spark). Familiarity with automation tools like Ansible and Python scripting. Key Responsibilities: Support ETL infrastructure on Unix/Linux platforms, including patching and performance tuning. Coordinate infrastructure changes for capacity expansion and high availability. Develop automation scripts using Ansible, Python, or Shell to streamline operations. Collaborate with application teams to deliver infrastructure solutions aligned with business needs. Participate in the design, build, and delivery of ETL infrastructure components. Engage with stakeholders to identify opportunities for optimization and automation. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Preferred Skills: Exposure to Hadoop cluster management and configuration. Experience with CI/CD pipelines and Agile environments (e.g., Jira). Familiarity with cloud-based data platforms (AWS, Azure, or GCP). Strong communication and stakeholder engagement skills. Basic to intermediate experience with Hadoop ecosystem Familiarity with Ab Initio for running and monitoring ETL jobs Working knowledge of Unix/Linux environments and shell scripting Support & Operations: Handling L2/L3 support tickets for data pipelines and infrastructure issues Monitoring job performance and cluster health using tools Performing routine tasks like job restarts, log analysis, and basic troubleshooting Automation & Scripting: Writing or modifying basic automation scripts using Shell, Python, or Ansible Automating routine support tasks (e.g., log cleanup, job status checks) Collaboration & Documentation: Working with data engineers and application teams to support deployments Participating in change management and documenting support procedures
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Manage Consent Preferences
Always Active #J-18808-Ljbffr
Infrastructure Support Engineer
to support and maintain scalable, secure, and high-performing data infrastructure environments. This role focuses on supporting ETL platforms, Big Data tools, and automation in a Unix/Linux environment.
Required Qualifications: Candidate must be located within commuting distance of
Tampa, FL,
or
Dallas, TX,
or be willing to relocate to the area. This position may require travel. Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education At least 4 years of Information Technology experience At least 4 years of experience in ETL infrastructure support and implementation. Strong Unix/Linux administration and scripting skills (Shell, Bash). Hands-on experience with Ab Initio (GDE, EME basics) and Big Data tools (Hive, Spark). Familiarity with automation tools like Ansible and Python scripting. Key Responsibilities: Support ETL infrastructure on Unix/Linux platforms, including patching and performance tuning. Coordinate infrastructure changes for capacity expansion and high availability. Develop automation scripts using Ansible, Python, or Shell to streamline operations. Collaborate with application teams to deliver infrastructure solutions aligned with business needs. Participate in the design, build, and delivery of ETL infrastructure components. Engage with stakeholders to identify opportunities for optimization and automation. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Preferred Skills: Exposure to Hadoop cluster management and configuration. Experience with CI/CD pipelines and Agile environments (e.g., Jira). Familiarity with cloud-based data platforms (AWS, Azure, or GCP). Strong communication and stakeholder engagement skills. Basic to intermediate experience with Hadoop ecosystem Familiarity with Ab Initio for running and monitoring ETL jobs Working knowledge of Unix/Linux environments and shell scripting Support & Operations: Handling L2/L3 support tickets for data pipelines and infrastructure issues Monitoring job performance and cluster health using tools Performing routine tasks like job restarts, log analysis, and basic troubleshooting Automation & Scripting: Writing or modifying basic automation scripts using Shell, Python, or Ansible Automating routine support tasks (e.g., log cleanup, job status checks) Collaboration & Documentation: Working with data engineers and application teams to support deployments Participating in change management and documenting support procedures
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Manage Consent Preferences
Always Active #J-18808-Ljbffr