Top Tech Jobs & Startup Jobs

Design, build, and operate an enterprise MLOps platform enabling development, deployment, serving, monitoring, and lifecycle management of ML and Generative AI. Build APIs, microservices, automation, observability, governance, and self-service developer experiences. Integrate cloud AI services, vector search/LLMs, and optimize for scalability, reliability, performance, and cost while collaborating and mentoring cross-functional teams.

Lead design and implementation of scalable Price Publish services for Target's PDEv2 modernization. Build high-throughput, low-latency backend systems using Java/Kotlin and Apache Kafka, develop and support REST APIs, work with Oracle/PostgreSQL and Cassandra, perform code and design reviews, troubleshoot production incidents, mentor engineers, and ensure data quality, disaster recovery, and operational excellence across enterprise retail pricing systems.

Lead and own application architecture for Stores & Supply Chain systems, building scalable, distributed services that support stores and fulfillment. Drive architectural decisions, mentor teams, collaborate with stakeholders and data scientists, and ensure system performance, reliability, and data lifecycle management across retail and warehouse platforms.

Lead UX Operations for AI Enablement by defining frameworks, workflows, and governance to design, test, and scale AI-enabled and agentic experiences. Run pilot programs, measure adoption, partner with L&D to deliver training, and translate learnings into playbooks and operating models that ensure human-agent collaboration, accessibility, ethics, and quality across product development.

Design, build, and maintain robust, scalable software components. Participate in code and design reviews, automation, debugging, testing, and disaster recovery. Resolve operational issues, monitor capacity, and apply distributed programming principles. Implement authentication/authorization (OAuth 2.0/OpenID Connect) and use appropriate data structures. Contribute to research, proofs-of-concept, and lifecycle management of services.

Lead UX design for multi-touchpoint, future-forward guest experiences. Create service design artifacts, prototype concepts, produce mid-fidelity flows and wireframes, apply qualitative and quantitative insights, collaborate cross-functionally, and ensure accessibility, information architecture, and brand alignment while promoting experimentation and scalable solutions.

As a Senior Site Reliability Engineer, you will build and support platforms for reliable digital experiences, improve system reliability, and guide technical decisions within the team.

Senior engineer responsible for designing, building, and operating scalable, secure cloud-native platforms and distributed systems. Work includes Kubernetes, containers, compute, storage, messaging/streaming, observability, SRE practices, cloud management, APIs, and developer-facing consoles. Collaborate with product, engineering, and security to improve automation, reliability, performance, availability, and cost efficiency while mentoring peers and triaging operational issues.

Design and build platform services for an agentic analytics layer connecting users and agents to governed analytical data. Work spans agent orchestration, data and metadata access, semantic models, evaluation, observability, security, and production reliability in a collaborative engineering environment.

Own the end-to-end architecture and technical direction of Target's enterprise observability platform. Solve high-volume telemetry and distributed-systems challenges, set engineering standards, drive platform-as-product adoption, mentor senior engineers, improve reliability and operational insights, and contribute to cross-infrastructure priorities at scale.