Bengaluru · Senior
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
No credit card · 1 tap with Google
MEDIUM
GALE is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
Window passed - posted 80d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
GALE is a creative media consultancy that brings business insights to brand storytelling and activates it across every channel. With expertise in business strategy, media, CRM, addressable and integrated brand communications, performance marketing, and technology, GALE creates marketing systems and communications that grow businesses. GALE delivers strong outcomes for its partners in automotive, QSR, retail, gaming, entertainment, telecom and more. The agency currently has offices in New York, Detroit, Singapore, Toronto, Austin, Los Angeles, London, and Bengaluru.
Our teams are connected by a set of core values that inform everything we do, from how we hire to how we work together: values like Everyone Matters, No Silos, and Masters of Our Craft.
If you’re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you.
About the role -- As a Team Lead, Core Technology, you’ll leverage your technical depth and problem-solving skills to build reliable, lightweight, high-performing web applications and platform services. While your strength is back-end development (Python/Django and related frameworks), you’re comfortable collaborating across the stack and are conversant with modern front-end ecosystems (React/Angular/Vue).
You thrive in an agile, sprint-driven environment and bring a strong engineering mindset: clean architecture, test-driven development, automated testing, CI/CD, and scalable system design. You’re also excited by the evolution of AI engineering - especially RAG (Retrieval-Augmented Generation), LLM integrations, and agentic workflows. You can take a problem from ambiguity to delivery—design → build → test → deploy → iterate.
WHAT YOU “MIGHT” DO (No day is the same)
Design: Create technical designs (HLD/LLD) for new capabilities and improvements, ensuring solutions are scalable, secure, and maintainable.
Backend engineering (Python): Build and enhance backend services and APIs primarily in Python/Django (and related frameworks as needed), focusing on performance, reliability, and clean architecture.
Database & data layer: Work with relational databases (e.g., PostgreSQL/Redshift) and support data modeling, query optimization, and production readiness.
AI/RAG & Agent work: Design and implement custom RAG workflows and LLM integrations—covering retrieval, prompt orchestration, grounding, and connecting to vector stores (e.g., Pinecone/FAISS) where applicable.
Data pipelines: Contribute to building/operating data pipelines and jobs using AWS and open-source tools (e.g., EMR/Glue/Redshift, Airflow/Spark)—including orchestration, monitoring, and reliability improvements.
Engineering excellence: Write code that holds up in TDD, build automated tests, participate in reviews, and support CI/CD practices using tools like GitHub and JIRA.
Sprint ownership & leadership: Independently run sprints for a small team—planning, task breakdown, execution tracking, and clear communication with internal stakeholders and clients.
WHO YOU ARE
6+ years of strong experience in Python, with deep expertise in Django and other frameworks.
Strong backend foundation and familiarity with frameworks such as Django / Flask / Pyramid (or equivalents).
Solid experience working with AWS (or similar cloud platforms) in production environments.
Strong understanding of:
HLD/LLD, system design fundamentals, API design, and scalable architectures
Engineering best practices: testing, code quality, documentation, and maintainability
Hands-on experience building AI/LLM solutions, including:
RAG pipelines and agent workflows
Tools/frameworks such as LangChain, Pydantic, and related ecosystems
Familiarity with AI agent design patterns and best practices
·
Free · no signup
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
More DevOps Engineer roles in Bengaluru
See allKeep browsing