2

No Experience Containerization Jobs in Indiana (NOW HIRING)

$172K - $269K/yr

Hands-on experience with Kubernetes, containerization, microservices, hybrid edge-to-cloud ... No End Date Job Function: R&D

Software Engineer I

Indianapolis, IN · On-site

$68K - $75K/yr

... previous experience in: * WPF or desktop application development * Containerization and ... Note: No amount of pay is considered to be wages or compensation until such amount is earned ...

... previous experience in: * WPF or desktop application development * Containerization and ... Note: No amount of pay is considered to be wages or compensation until such amount is earned ...

No Experience Containerization information

What is the difference between No Experience Containerization vs No Experience Cloud Engineer?

AspectNo Experience ContainerizationNo Experience Cloud Engineer
Required SkillsBasic understanding of virtualization, Linux, and networkingBasic knowledge of Salesforce platform, HTML, and data management
Work EnvironmentIT, DevOps, or software development teamsSalesforce teams, marketing, and customer service departments
CertificationsNone typically required, but certifications like Docker or Kubernetes helpSalesforce certifications like Salesforce Administrator or Developer

While both roles may require some technical familiarity, No Experience Containerization focuses on virtualization and deployment tools, often in IT or DevOps settings. No Experience Cloud Engineer involves working with Salesforce platforms, primarily in customer relationship management. Understanding these differences helps job seekers target the right entry-level roles based on their interests and background.

What is the easiest job to get into with no experience?

Containerization roles such as entry-level warehouse or packaging positions often require minimal experience and may provide on-the-job training. These jobs typically involve physical work, basic equipment operation, and can be accessible without prior specialized skills or certifications.

What jobs pay $700 a day?

High-paying jobs that can reach $700 a day often include specialized roles such as freelance consultants, project managers, or skilled trades like electricians and plumbers, especially with experience or certifications. These positions typically require specific skills, certifications, or a strong professional reputation, and may involve freelance or contract work with flexible schedules.

What containerization tools do you have experience with?

Containerization roles typically require experience with tools like Docker and Kubernetes, which are widely used for creating, managing, and orchestrating containers. Familiarity with container registries, such as Docker Hub, and understanding of container networking and security are also beneficial. Basic knowledge of Linux command-line skills and container deployment processes is often expected for entry-level positions.

What jobs pay $4000 a week without a degree?

Jobs related to containerization, such as containerization specialists or DevOps roles, can pay around $4,000 per week with experience and relevant skills like cloud platforms and automation tools. These positions often require technical knowledge of Docker, Kubernetes, and scripting, but may not always require a formal degree. High-paying roles in IT and logistics may also reach this level with specialized skills and certifications.
What are popular job titles related to No Experience Containerization jobs in Indiana? For No Experience Containerization jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for No Experience Containerization jobs? Cities in Indiana with the most No Experience Containerization job openings:

Software Modernization Enablement Lead Engineer

Agilent

On-site

$172K - $269K/yr

Full-time

Re-posted 6 days ago


Agilent Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

86th of 536 rated manufacturers


Job description

Job Description

At Agilent, we inspire and support discoveries that advance the quality of life by providing trusted answers to our customers' most critical scientific and laboratory questions. The Software & Informatics Division is one of Agilent's fastest-growing businesses, and this role is pivotal in modernizing our OpenLab Suite - accelerating the next generation of scientific software that our global customers rely on every day.

We are seeking an experienced Software Modernization Enablement Lead Engineer to drive the digital transformation of our legacy systems. In this role, you will design the standardized, scalable processes and tools that accelerate developer productivity and software modernization at scale. You will pioneer the use of generative AI and autonomous AI agents to automate code translation, extract scientific algorithms and business logic, and accelerate migration to our next-generation platform - bridging traditional enterprise systems with cutting-edge software engineering.

This is an ideal opportunity for a self-starter who is innovative, passionate about delivering world-class software, and energized by a fast-paced, next-generation product development environment. You will continuously monitor industry trends and apply emerging technologies to deliver measurable value to our customers.

Key Responsibilities
  • Architect AI-Driven Migration Methodology: Design and execute methodologies and tooling to refactor, rearchitect, and translate legacy codebases into modern, cloud-native architectures using AI-augmented tools.

  • Build Agentic AI Workflows: Develop and implement multi-agent AI workflows to automate code analysis, logic extraction, and documentation generation.

  • Ensure Code Quality: Establish automated and "Human-in-the-Loop" verification frameworks so AI-generated code is secure, performant, and compliant.

  • Automate Testing: Integrate AI tools to automatically generate, execute, and maintain comprehensive unit and integration test suites throughout code translation.

Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

  • Experience: 8+ years in software engineering, including a minimum of 3 years in AI application development and demonstrated experience in enterprise application modernization.

  • AI/LLM Integration: Hands-on experience building multi-agent AI workflows for code analysis and logic extraction; composable-skills frameworks for legacy modernization; and agentic orchestration for code generation, documentation, and test synthesis.

  • Legacy & Modern Languages: Deep expertise in modern languages (.NET C#, ASP.NET Core, Python, Java, Go) and strong familiarity with legacy enterprise environments (WPF, WCF, ASP, C++, C#, or mainframe architectures).

  • Cloud Platforms & Infrastructure: Hands-on experience with Kubernetes, containerization, microservices, hybrid edge-to-cloud topologies, and major cloud providers (AWS, Azure). Strong conceptual command of any major cloud platform is expected at the expert level.

  • CI/CD & DevOps: Advanced knowledge of automated pipelines, Infrastructure as Code (IaC), automated unit and integration test pipelines, and Human-in-the-Loop verification frameworks.

  • Platforms & Data: Familiarity with both Windows and Linux environments and database technologies.

  • Communication & Collaboration: Excellent communication skills with the ability to evaluate solutions through both short-term and long-term lenses in an iterative development cycle, and a track record of working effectively across diverse, cross-functional teams.

Additional Details

This job has a full time weekly schedule. Applications for this job will be accepted until at least June 30, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $172,512.00 - $269,550.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: No End DateJob Function: R&D

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