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Golang Developer
Product co' in cybersecurity
HireMap IT Consultants's logo

Golang Developer

at Product co' in cybersecurity

2 - 8 yrs
₹10L - ₹40L / yr
Bengaluru (Bangalore), Pune
Skills
skill iconGo Programming (Golang)
Golang
  • Bachelor's degree in computer sciences, software engineering, or equivalent.
  • Experience with Go language programming and other backend technologies such as NodeJS/ExpressJS, preferably in Security/enterprise/SaaS products. 
  • Exposure to one or more cloud platforms (AWS, GCP, Azure), containers and kubernetes.
  • Hands-on experience with microservices architecture, Rest APIs, databases such as PostgreSQL/mongodb, distributed systems, data engineering technologies, etc.
  • Strong analytical and problem-solving skills, and keen attention to detail.
  • Knowledge of the modern SDLC practices, Agile methodologies, tools such as Jira, and software configuration tools such as GitHub.
  • Capable of balancing multiple priorities and remaining flexible in a changing environment.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Recruiting Bond
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NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead


ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.


THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.


KEY RESPONSIBILITIES


1. Architecture & Platform Modernisation

  • Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
  • Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
  • Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
  • Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
  • Establish backend design standards, coding guidelines, and architectural review processes


2. Distributed Systems Engineering (Production-Grade)

  • Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
  • Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
  • Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
  • Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
  • Apply Saga orchestration and choreography patterns for distributed transaction integrity
  • Execute zero-downtime deployments and canary release strategies with rollback capability
  • Design and enforce multi-region disaster recovery and business continuity protocols


3. AI-Driven Engineering Practices

  • Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
  • Apply prompt engineering techniques for automated code generation, review, and documentation workflows
  • Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
  • Build automation-first pipelines that reduce toil and accelerate delivery velocity
  • Evaluate and integrate emerging AI developer tools into the engineering ecosystem


4. Engineering Leadership & Culture

  • Own backend platforms end-to-end with full accountability across development, stability, and performance
  • Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
  • Drive and lead technical hiring — from designing assessments to final hire decisions
  • Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
  • Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
  • Foster a culture of technical excellence, psychological safety, and high-velocity delivery


TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor


QUALIFICATIONS & CANDIDATE PROFILE


Education

  • B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
  • Exceptional real-world engineering track record may be considered in lieu of institution pedigree


Experience

  • 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
  • Proven track record of shipping and scaling production SaaS / Product systems at significant user load
  • Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
  • Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
  • Demonstrated career stability — minimum 2 years average tenure per organisation
  • The Ideal Candidate Exemplifies
  • System-level thinking with an ability to hold context across code, architecture, product, and business
  • An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
  • Strong written and verbal communication skills for asynchronous, cross-functional collaboration
  • Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
  • Bias for automation, observability, and engineering efficiency at every level
  • A mentor's instinct — genuine desire to grow others and raise the capability of the team around them


WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.


HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.


Recruiting Bond | Bengaluru, Karnataka, India | 2026

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Tradelab Technologies
at Tradelab Technologies
1 candid answer
Aakanksha Yadav
Posted by Aakanksha Yadav
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Location: Bengalore, India, Exp: 3-5 Yrs

Backend Developer (Golang) - Trading & Fintech


About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.


What we expect:

 You should already be exceptional at Golang. If you need hand-holding, this isn’t the place for you.

 You thrive on challenges, not on perks or financial rewards.

 You measure success by your own growth, not external validation.

 Taking calculated risks excites you—you’re here to build, break, and learn.

 You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment.

 You understand the stakes—milliseconds can make or break trades, and precision is everything.



What you will do:

 Develop and optimize high-performance backend systems in Golang for trading platforms and financial services.

 Architect low-latency, high-throughput microservices that push the boundaries ofspeed and efficiency.

 Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

 Own your work—no babysitting, no micromanagement.

 Work alongside equally driven engineers who expect nothing less than brilliance.


Must have skills:

 Learn faster than you ever thought possible.

Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).

 Deep understanding of concurrency, memory management, and system design.

 Experience with Trading, market data processing, or low-latency systems.

 Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing.

 Hands-on with Docker, Kubernetes, and CI/CD pipelines.

 A portfolio of work that speaks louder than a resume.


Nice-to-Have Skills:

 Past experience in fintech, trading systems, or algorithmic trading.

 Contributions to open-source Golang projects.

 A history of building something impactful from scratch.

 Understanding of FIX protocol, WebSockets, and streaming APIs.


Why Join Us?

 Work with a team that expects and delivers excellence.

 A culture where risk-taking is rewarded, and complacency is not.

 Limitless opportunities for growth—if you can handle the pace.

 A place where learning is currency, and outperformance is the only metric that matters.


The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech. This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.



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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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