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Engineering Manager, Top Fintech company tier 1 college only
Engineering Manager, Top Fintech company tier 1 college only

Engineering Manager, Top Fintech company tier 1 college only at Talent Pro · Bengaluru (Bangalore) · 8 - 12 years · ₹55L - ₹77L / yr · Bootstrapped · Posted 23 Jan 2026

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Engineering Manager, Top Fintech company tier 1 college only

Mayank choudhary's profile picture
Posted by Mayank choudhary
8 - 12 yrs
₹55L - ₹77L / yr
Bengaluru (Bangalore)
Skills
skill iconJavascript
skill iconReact.js

Strong Engineering Manager / Lead Profiles

Mandatory (Experience 1) - Must have 8+ years of overall Software Engineering/Development experience

Mandatory (Experience 2) - Must have 3+ years of experience as Engineering Manager / Team Lead role, with ownership of technical direction, delivery, and people management

Mandatory (Experience 3) - Must have hands-on Backend development experience using Python or Java, with frameworks such as FastAPI / Django / Spring / Express (Node.js)

Mandatory (Experience 4) - Must have Frontend development exposure using ReactJS, JavaScript, HTML, CSS

Mandatory (Experience 5) - Must have experience designing and building APIs, services, and integrations, including system design, PR reviews, and architectural decision-making.

Mandatory (Experience 6) - Must have experience leading engineers end-to-end – mentoring, code reviews, execution planning, and improving team productivity/quality

Mandatory (Company) - Must be from Product Companies / Startups (early to growth stage), B2B SaaS + Fintech industry is highly preferred

Mandatory (Note) - This role will be 80% team management and 20% IC (hands on coding required)

Preferred

Preferred (Education) - Tier 1 engineering college

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About Talent Pro

Founded :
2024
Type :
Services
Size
Stage :
Bootstrapped

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Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of hrategnyte.com. Egnyte will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact hrategnyte.com. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy. 

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  • Ability to balance hands-on development with technical leadership and delivery ownership in a fast-paced product environment.
  • Experience working in SaaS or product-based organizations is preferred.
  • Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, or ChatGPT is an added advantage.
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  • Communicate technical risk, cost, and complexity clearly to non-technical leadership

What We're Looking For

  • 7–10 years of engineering experience, with at least 3 years leading teams.
  • Strong understanding of distributed systems design: idempotency, retries, DLQs, circuit breakers, eventual consistency, you've had to debug these in production.
  • Proven experience with event-driven architecture and Kafka including schema design, consumer group management, and failure recovery patterns.
  • Comfort with relational (PostgreSQL) and NoSQL (MongoDB, Redis, ) databases  including query optimisation and schema design decisions at scale.
  • You've designed or operated systems handling meaningful traffic  ideally 10K+ RPS. significant daily transaction volumes, or consumer-scale user bases (1M+ users)
  • You understand what 99.99% uptime actually costs to maintain and you've made the infrastructure and on-call decisions to back it.
  • You've written or enforced SLOs, SLAs, and incident management processes.
  • You've done a postmortem that changed something real about how the team operates.
  • Hands-on experience with AWS, GCP, or Azure beyond just deploying services, cost optimisation, right-sizing, architecture decisions that meaningfully reduced spend
  • Working knowledge of containerisation (Docker) and orchestration (Kubernetes) enough to unblock your team.
  • CI/CD pipeline ownership  you've built or significantly improved a pipeline.
  • Experience with observability tooling: Prometheus, Grafana, Datadog, ELK, or equivalent  and more importantly, a philosophy about what to instrument and why
  • You've made the call between monolith and microservices  and you can defend it with context.
  • You've managed technical debt consciously: triaged it, prioritised it, and made the case to stakeholders for when to pay it down
  • You've navigated a hard conversation with a product or business stakeholder  and changed the outcome
  • Your engineers grow under you. You can point to people you've promoted, coached, or unblocked
  • You know how to build alignment across functions where incentives don't naturally align
  • You have clear examples of decisions you made under ambiguity  and you can articulate the trade-offs you weighed
  • You've identified a systemic problem and fixed it without being asked
  • You've built or rebuilt something that wasn't working  a team, a process, a system

Work Arrangement

Flexible work setup, including hybrid options. Monday to Friday. Learn more about us at https://www.solarsquare.in.



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The supreme consultancy
Pramila Ranjane
Posted by Pramila Ranjane
Remote only
7 - 9 yrs
₹27L - ₹45L / yr
Fullstack Developer
skill iconPython
skill iconReact.js
skill iconJavascript
TypeScript
+13 more

Role & Responsibilities


Responsibilities


• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.


• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.


• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.


• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.


• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.


• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.


• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.


• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.


Ideal Candidate


  • Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
  • Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
  • Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
  • Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
  • Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
  • Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
  • Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
  • Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
  • Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
  • Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams


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