Job Overview

Accenture is hiring a Custom Software Engineer for an Advanced Application Engineering opportunity in Bengaluru. This full-time role is focused on building automation solutions that support applications, infrastructure, and Site Reliability Engineering operations. The position is suitable for professionals who have practical Python development experience and want to work on automation, cloud and on-premises environments, monitoring, and operational engineering.

The role involves designing and implementing software-driven automation for provisioning, configuration, and day-to-day operations. You will contribute to large-scale engineering initiatives, work with cross-functional teams, troubleshoot automation challenges, and help improve operational efficiency through modern engineering practices. The position also provides exposure to monitoring and observability workflows, cloud platforms, Generative AI, and Agentic AI concepts.

Key Responsibilities

• Develop automation solutions for application provisioning, configuration, and operational activities.
• Build and maintain Python-based scripts and automation components that address engineering and infrastructure requirements.
• Work with APIs and automation interfaces to connect applications, infrastructure, and operational processes.
• Integrate monitoring and observability workflows into automation solutions where required.
• Investigate automation failures, identify technical issues, and implement practical fixes.
• Collaborate with application, infrastructure, SRE, and other cross-functional teams to deliver automation-led improvements.
• Support automation initiatives across both cloud and on-premises environments.
• Contribute to large-scale implementation projects focused on improving engineering productivity and operational value.
• Apply Git-based development practices for maintaining automation code and related assets.
• Continue learning cloud technologies, automation approaches, monitoring solutions, and emerging AI capabilities relevant to the role.

Required Skills

Python is the primary technical requirement for this position. Candidates should have at least two years of practical experience using Python for software development, scripting, or automation. A solid understanding of automation concepts and APIs is important because the role involves developing solutions for application and infrastructure operations.

Candidates should also have basic Linux knowledge and familiarity with Git. The ability to work across cloud and on-premises environments is required, along with an understanding of how automation can simplify provisioning, configuration, monitoring, and operational tasks.

Experience or exposure to monitoring tools is useful for integrating observability workflows and troubleshooting automation-related issues. Candidates should also demonstrate strong problem-solving skills and the ability to learn unfamiliar technologies quickly.

Preferred Skills

Linux is listed as a good-to-have skill. Exposure to cloud platforms, monitoring technologies, automation APIs, and infrastructure or application operations will strengthen a candidate's profile. Familiarity with Generative AI and Agentic AI concepts is also relevant to the position, although the JD describes these as basic knowledge rather than a primary development requirement.

Education

The position requires 15 years of full-time education. The JD does not specify a particular degree specialization, so candidates should ensure that their educational background satisfies the stated full-time education requirement.

Experience

The opportunity is intended for professionals with 2 to 5 years of experience, with a minimum requirement of two years of experience in Python. Candidates should have practical exposure to software engineering, automation scripting, APIs, Git, Linux basics, and cloud or on-premises environments. The role is not listed as a fresher position and is better suited to experienced professionals who have already worked on automation or engineering projects.

Required Technologies

The core technology for this role is Python. Other relevant technologies and technical areas mentioned in the JD include APIs, Git, Linux, cloud platforms, on-premises environments, monitoring tools, automation, observability, Generative AI, and Agentic AI. The specific cloud platform and monitoring products are not named in the job description, so candidates should avoid assuming a particular vendor is mandatory.

Soft Skills

Strong learning agility is important because the role requires flexibility across different cloud and on-premises tools. Problem-solving ability is equally important for diagnosing automation failures and developing reliable solutions. Candidates should be comfortable collaborating with cross-functional teams, communicating technical issues clearly, and adapting to changing engineering requirements.

Benefits of Working in this Role

This role offers practical exposure to automation-led engineering and large-scale technology implementations. Professionals can work across application operations, infrastructure automation, monitoring, cloud environments, and SRE-related activities. The position can also provide opportunities to build experience with emerging areas such as Generative AI and Agentic AI while developing stronger Python and automation engineering skills.

Work Mode

The position is based at Accenture's Bengaluru office. The provided job description does not identify the role as remote or hybrid, so it should be treated as an office-based opportunity.

Location

This Custom Software Engineer position is based in Bengaluru, Karnataka, India. Candidates seeking software jobs, IT jobs, Python developer opportunities, automation engineering roles, or application engineering jobs in Bengaluru may find this position relevant.

Who Should Apply

This opportunity is suitable for software engineers, Python developers, automation engineers, application engineers, and professionals working in infrastructure or SRE-related environments who have at least two years of Python experience. Candidates should be comfortable developing automation scripts, working with APIs, using Git, understanding Linux fundamentals, and supporting solutions across cloud and on-premises environments.

Freshers should note that the role requires a minimum of two years of experience, so it is primarily intended for experienced professionals rather than entry-level applicants.

Career Growth

The role can help engineers broaden their skills beyond traditional Python development by combining software engineering with infrastructure automation, monitoring, observability, cloud technologies, and SRE operations. Continued exposure to large-scale automation projects can support progression toward senior automation engineering, cloud engineering, SRE, platform engineering, or broader technical roles, depending on individual performance and future opportunities.

Application Advice

When applying, highlight practical Python projects and professional experience involving automation, APIs, Git, Linux, cloud or on-premises systems, and monitoring. Describe the automation problems you solved, the processes you improved, and the environments you supported. If you have worked with Generative AI or Agentic AI concepts, include that experience clearly without overstating your level of expertise.

Because the role values learning agility and problem-solving, your resume should show examples of troubleshooting, cross-team collaboration, and adapting to new tools. Ensure your education section clearly demonstrates the required 15 years of full-time education. Review the job requirements carefully and use the official Accenture application link for the latest application information.