Junior DevOps Engineer

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique. From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success. About The Department Our direct team is based in the USA. The team supports batch systems for FADB, our funds accounting database, and for GPW, the downstream system that reports product performance. The immediate team is currently three full-time employees. A Junior DevOps Engineer helps build and run the pipelines, environments and monitoring that let Franklin Templeton's engineering teams ship software safely and often. This is an early-career role with strong support for learning and growth. You will work alongside experienced engineers to automate builds and deployments, support containerized applications and Linux EC2 workloads on AWS, and keep services healthy. Your work gives development teams repeatable, reliable releases. Core Responsibilities How you will add value - You will maintain and improve GitLab CI/CD pipelines so changes are built, tested and deployed consistently. - You will help to support containerized applications on ECS Fargate, Linux EC2 workloads, and AWS Lambda and S3-based workflows, and help diagnose environment-specific issues. - You will set up and maintain monitoring, logging and alerts, and assist with incident investigation. Strategic Responsibilities - You will write scripts and automation that remove repetitive manual work. - You will apply secure practices for secrets, access and configuration across development, testing and production. Team & Collaboration - You will partner with developers to make releases smoother and repeatable. - You will document processes, configurations and fixes, and participate in cutover and implementation activities. What Will Help You Be Successful In This Role 1-4 years of Experience, Education & Certifications - Uses AI assistants as a natural part of their development workflow: for writing code, debugging, writing tests, generating documentation, and exploring unfamiliar domains. - Decomposes a task into parts, translates those parts into effective prompts, and iterates on those prompts until the task is complete. - Treats AI-generated outputs as drafts, not final, and refines them before incorporating. - Actively explores new AI tools, techniques, and capabilities. Technical Environment - Core stack: GitLab CI/CD, AWS (Lambda, S3, EC2 and ECS Fargate), Linux, containers, and Python scripting. - Operating environment: AWS cloud, with some workloads on Linux EC2 and some container-based (ECS Fargate). - Workflow: GitLab CI/CD pipelines, Git version control, AWS Lambda workflows, [ticketing and SDLC to add]. - Quality and reliability: monitoring, logging and alerting, and incident support. Technical And Soft Skills - Foundational knowledge of CI/CD concepts and a version control workflow such as Git, ideally with GitLab. - Basic familiarity with containers and a cloud platform, ideally AWS, through coursework, projects or work experience. - Scripting skills in Python, and comfort working on the Linux command line. - Understanding of core operating system, networking and web application concepts. - Methodical troubleshooting: you form a hypothesis, test it, and confirm the cause before making changes. - Clear communication, effective teamwork, and a willingness to learn from feedback. - Exposure to infrastructure as code or configuration management tools would be a plus. - Familiarity with basic service health metrics such as latency, error rate and availability would be a plus. - Hands-on projects, internships or certifications in DevOps, cloud (especially AWS) or systems administration would be a plus. - Interest in applying AI to operations work would be a plus. Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to maintaining an ethical, transparent, and accountable work environment, which contributes to the integrity and success of the organization. We encourage the reporting of any known or suspected violations of national as well as EU laws through appropriate reporting channels available internally and externally. We ensure that whistleblowers who report such breaches are protected from retaliation and provided with safe and confidential reporting mechanisms. Please see the procedure below – both in Polish and English Artificial intelligence or automated tools may be used to assist in the screening, assessment, or selection of applicants for this position.