Sr Engineer

Target is hiring a Sr Engineer in Bengaluru, India. Level rates it ; you can apply on Target.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include ChatGPT, Copilot and AI agents.
Level classifies it as a mid-level role.
Level lists 10,000+ other open roles at Target.
The role was posted within the past week.

AI in this role

chatgptcopilot

ai-agents

About Us:

As a Fortune 50 company with more than 4000,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.

Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.

Position Overview

We are looking for a Senior Backend Engineer with strong experience in distributed systems and Java-based applications to join our team.

In this role, you will design, build, and operate scalable backend services, contribute to architecture decisions, and own services end-to-end in production. You will work closely with cross-functional partners to deliver reliable, high-performance systems.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

Responsibilities:

Design and build high-quality, scalable, and resilient backend services using Java and Spring Boot
Lead system design and architecture discussions, making informed trade-offs across performance, scalability, and reliability
Own services end-to-end in production, ensuring availability, latency, and SLA adherence
Drive best practices for distributed systems design, fault tolerance, and observability
Write clean, maintainable, and well-tested code, and set a high bar for engineering quality
Conduct code reviews and mentor engineers, improving overall team capability
Troubleshoot complex production issues, lead root cause analysis, and implement durable fixes
Collaborate cross-functionally with product, UX, and platform teams to deliver solutions end-to-end
Partner with DevOps to enhance CI/CD pipelines and optimize Kubernetes-based deployments
Contribute to architecture governance, documenting designs, trade-offs, and operational runbooks
Influence technical direction by evaluating tools, technologies, and system improvements
Contribute to building next-generation platform capabilities leveraging agent-based and AI-driven orchestration systems

About You:

Bachelor’s degree in Computer Science or equivalent practical experience
4+ years of professional software development experience
Strong proficiency in Java and deep experience with Spring Boot
Proven experience building microservices and RESTful APIs
Strong understanding of distributed systems principles: scalability, reliability, consistency, and fault tolerance
Hands-on experience with messaging systems (e.g., Kafka, RabbitMQ)
Experience with cloud-native environments (Docker, Kubernetes)
Strong database fundamentals across relational (MySQL/Postgres) and NoSQL (MongoDB/Redis) systems
Experience with modern engineering practices: Git, CI/CD, automated testing, and observability tools
Strong problem-solving skills and ability to drive solutions in ambiguous environments
Demonstrated ability to mentor engineers and influence technical decisions
Proven track record of delivering reliable, scalable systems in production

Nice to have

Experience with event-driven architectures or streaming systems
Exposure to high-scale, low-latency systems
Familiarity with infrastructure-as-code tools (e.g., Terraform)
Experience with performance tuning and system optimization
Familiarity with AI-assisted developer tools (e.g., GitHub Copilot, ChatGPT)
Familiarity with agentic platforms and AI-driven application architectures, including concepts like orchestration of autonomous agents, tool usage, and workflow-based systems

Know More About Us here:

Life at Target: https://india.target.com/
Benefits: https://india.target.com/life-at-target/workplace/benefits
Culture: https://india.target.com/life-at-target/belonging
Curious about Target Tech?: https://tech.target.com/

How we rate this

Sr Engineer at Target rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Engineer is an open job at Target.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Bangalore,India.
The job was posted on October 19, 2026.
Seniority: mid.
Applications are handled by Target. Apply on Target

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsChatGPTCopilot

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used ChatGPT in your day-to-day work.
What are the limits of Copilot that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: AI agents, ChatGPT, and Copilot. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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