TargetLead Engineer - Target India
Target is hiring a Lead Engineer - Target India. Level rates it ; you can apply on Target.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include system architecture, software development and technical leadership.
- Level classifies it as a lead role.
- Level lists 14,000+ other open roles at Target.
- The role was posted within the past two weeks.
AI in this role
Provide technical leadership and architectural direction to build scalable systems and enable intelligent platform capabilities.
About us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win
Role & Responsibilities
As a Lead Engineer, you will provide technical leadership and architectural direction while remaining hands-on in building scalable, resilient, and production-grade systems. You will play a critical role in shaping engineering standards, driving modernization, and enabling intelligent, AI-powered capabilities across the platform.
Key Responsibilities
- Technology Evaluation & Innovation
- Evaluate emerging technologies and contribute to architectural decision-making, considering alignment with Target’s technical ecosystem, long-term maintainability, scalability, and total cost of ownership.
- Lead research initiatives and proof-of-concept efforts to validate new tools, frameworks, and platforms before adoption.
- Architecture & Engineering Excellence
- Design and own scalable, secure, high-performance architectures.
- Establish and evolve engineering standards and best practices in complex or ambiguous environments.
- Lead service design, lifecycle management, and overall technical governance of team-owned platforms.
- Ensure code quality, infrastructure standards, and long-term sustainability of services.
- Hands-On Development & Delivery
- Contribute directly to development efforts, particularly on complex and high-impact components.
- Ensure solutions are production-ready, deployable, resilient, and scalable.
- Drive implementation quality through strong testing, automation, and CI/CD practices.
- Enterprise Impact & Thought Leadership
- Provide technical thought leadership to promote reusable components and consistent architectural patterns.
- Participate in planning and designing services with enterprise-wide impact.
- Guide the team in resolving routine and moderately complex technical challenges, escalating risks when necessary.
- Observability & Reliability Engineering
- Champion a culture of observability and operational excellence.
- Ensure monitoring, logging, and metrics are embedded into services.
- Leverage operational data to continuously improve system stability, performance, and reliability.
- Align monitoring strategies with organizational observability principles.
- Data Governance & Platform Optimization
- Influence and evolve data standards, policies, and governance practices.
- Configure, optimize, and monitor data management platforms with minimal oversight.
- Identify performance and efficiency improvements across data systems.
Required Skills & Expertise
- Advanced proficiency in Java, including backend systems and automation workflows
- Strong experience in Microservices Architecture and distributed systems
- Expertise with Spring Boot or Micronaut, including reactive programming models
- Experience with Messaging Systems such as Kafka or RabbitMQ
- Proficiency with Databases, including NoSQL (Cassandra, MongoDB) and SQL (PostgreSQL)
- Experience building and managing CI/CD pipelines (Jenkins, GitLab, or similar)
- Strong background in Unit & Integration Testing (JUnit, Spock, TestContainers)
- Experience with Cloud Platforms (AWS, GCP, Azure)
- Expertise in Containerization & Orchestration (Docker, Kubernetes)
- Strong understanding of Monitoring & Observability tools (Grafana, ELK, Prometheus)
- Solid grasp of Event-Driven Architecture patterns in distributed environments
Preferred Qualifications
- Proficiency in Python or Kotlin
- Experience with Legacy System Modernization and refactoring initiatives
- Knowledge of Security Best Practices, including OWASP standards and secure coding principles
- Familiarity with Agile methodologies such as Scrum or Kanban
Know More About Us here:
- Life at Target: https://india.target.com/
- Target Tech: https://tech.target.com/
How we rate this
Lead Engineer - Target India at Target rates 20 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where system architecture was part of your work. What did you do?
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where technical leadership was part of your work. What did you do?
- Tell me about a project where scalability was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: System Architecture, Software Development, Technical Leadership, and Scalability. 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.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new software engineering jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step