Golang Developer

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

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
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Who You Are:

• You’ve built scalable, production-ready APIs in fast-paced environments, and are comfortable with the challenges that come with a growing startup.
• You understand event-driven architectures and have hands-on experience building real-time applications.
• You are fully capable of taking ownership of backend systems, from designing the database schema to writing efficient, maintainable code.
• You think beyond the code: optimizing performance, scalability, and security are as important as building new features.
• You’re comfortable troubleshooting complex issues, whether that’s API bottlenecks, database performance, or production issues.

Responsibilities:

• Design, implement, and manage a NestJS backend with a modular, scalable architecture that can easily handle real-time events and communication.
• Develop and maintain WebSocket services for real-time event-driven updates and ensure seamless communication across the system.
• Integrate RabbitMQ for reliable internal messaging, handling queues and ensuring event-driven workflows are efficient and fault-tolerant.
• Implement database management strategies using MongoDB, Redis, and Elasticsearch, ensuring efficient data handling, indexing, and optimization.
• Integrate with external APIs (JSON-RPC, XML-RPC, REST) to enhance system capabilities.
• Ensure high performance of the system by optimizing database queries, implementing caching strategies using Redis, and ensuring optimal indexing and data flow.
• Implement role-based authentication and authorization mechanisms using JWT, OAuth, and RBAC patterns within NestJS.
• Follow security best practices to ensure sensitive data is protected, credentials are stored securely, and the system is resilient to common vulnerabilities.
• Work collaboratively with cross-functional teams to ensure seamless integration between different services and technologies.

Must-Have Skills:

• Strong proficiency in Node.js and NestJS with TypeScript.
• Solid experience with MongoDB, Redis, and Elasticsearch for data storage and real-time data handling.
• In-depth knowledge of WebSockets and Socket.IO in NestJS Gateways, enabling real-time communication and updates.
• Experience with RabbitMQ for message queuing and asynchronous task handling.
• Strong understanding of authentication & authorization systems using JWT, OAuth, and RBAC (Role-Based Access Control).
• Expertise in optimizing APIs, including techniques for caching, improving database performance, and reducing latency.
• Familiar with API security best practices, including secure storage of credentials, encryption, and safeguarding sensitive data.

Key Skills:

• TypeScript, NestJS, WebSockets, Socket.io
• Redis, MongoDB, Elasticsearch, RabbitMQ
• API Optimization, JWT, OAuth, RBAC
• Real-time communication, Event-driven architecture

Summary: 

You will play a crucial role in designing, implementing, and optimizing smart contracts and zero-knowledge proof (ZK) circuits using Solidity and Rust programming languages. You will work closely with our development team to build scalable and secure blockchain solutions that leverage zero-knowledge proofs for privacy and scalability enhancements. 

It is an amazing opportunity to work on cutting edge fintech Key 

Responsibilities:

• Design, develop, and deploy smart contracts on Ethereum and other blockchain platforms using Solidity. 
• Implement zero-knowledge proof circuits and protocols in Rust for privacy-preserving and scalable blockchain applications. 
• Collaborate with the research team to explore and implement cutting-edge cryptographic techniques for zero-knowledge proofs. 
• Optimize smart contracts and zero-knowledge proof circuits for performance, scalability, and security. 
• Conduct code reviews and provide constructive feedback to ensure the quality and robustness of the codebase. 
• Stay updated with the latest advancements in blockchain technology, zero-knowledge proofs, and decentralized finance (DeFi). 
• Work closely with cross-functional teams including software engineers, and product managers to deliver high-quality blockchain solutions. 
• Contribute to the development of technical documentation, including specifications, architecture diagrams, and developer guides.

Responsibilities:

• Design and create services and system architecture for your projects, while working.
• Closely with the product, design and engineering team.
• Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products.
• Dive into difficult problems and successfully deliver results on schedule.
• Own services related to OkCredit features in active development.
• Develop and deploy required services responsible for evolution of the overall product.
• Do server side development in golang/python preferably (or any other language).
• Deploying stuff in production in docker containers.
• Write tests.
• Invent awesome stuff to make your job easier

• Motivation to design and build reliable, elegant backend services.
• At least 2 - 5 years of backend development experience.
• Proficiency in GoLang is MANDATORY.
• Familiarity with infrastructure concepts related to docker, kubernetes is preferred.
• Familiarity with Protocol buffers. Protocol buffers are now OkCredit's lingua franca for data.
• Familiarity with message-oriented middleware like rabbitmq, google pubsub.
• Familiarity with cloud platforms like gcp, aws etc.

Greetings from Golden Eagle It Technologies Pvt Ltd !!

Designation - Go-lang Developer

Location - Indore | Onsite

Experience - 1.5- 5 years

Job Description -

Skills - Golang, Docker, , Background Jobs , RabbitMQ

Roles and Responsibilities

• Design, architect, test, automate distributed, scalable, microservices based systems
• 3+ years of experience as a application development or similar role
• Excellent knowledge on SQL technologies like MySQL and MSSQL and NoSQL technologies like MongoDB
• Experience on application development in Golang
• Knowledge of Go routines and channel
• Knowledge of Go frameworks and API routers
• Experience in building Microservices
• Experience working in a CI/CD environment with Jenkins/CircleCI
• Extensive programming experience in Golang and Node.js
• Experience with Kubernetes, Docker and gRPC
• Extensive experience with AWS
• Experience designing/building scalable REST APIs
• Fluent in approaches to security, concurrency, debugging, performance, scalability, supportability and quality
• Ability to ramp-up quickly and contribute to a production codebase
• Understand non-functional implications to design like security, data migration, deployment, etc. background in OOPS, microservices and web-based applications.
• Experience with Agile Development (SCRUM methodology, JIRA)
• Good understanding of code versioning tools such as Git, Bitbucket, Mercurial, SVN, etc. and familiarity with continuous integration

Requirements:

• Excellent analytical skills
• Sense of ownership and pride in your performance and its impact on company’s success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills
• Ability to plan resource requirements from high level specifications
• Should be full time graduated (BE or B Tech or MCA) from reputed university

Contact Person: Yashswini Mandlik

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

F5 is looking for Software Engineer II with in-depth experience in high scale distributed systems. You will participate in the design and implementation of of our Edge Computing platform that is used to deploy global, scalable and secure applications. Your work includes, but not limited to, Research, design and build highly reliable, available and scalable platforms, API definition, implementation, deployment, operational management, and debugging.

Responsibilities:

• Deliver solutions that will help create, deploy and manage the service components of the platform
• Investigate various open source and close source technologies, components, libraries, tools etc. and help build a highly available, highly scalable and easily manageable system
• Take ownership of software components and   deliver   a   complete   product   satisfying   functional, scale, performance   and manageability requirements.
• Hands-on   coding   in   multiple   languages   while   considering   performance,  scalability, maintainability, and flexibility
• Understanding and exposure to design patterns and coding practices especially as applied to microservices architectures and API design, implementation and management
• Experience in Cloud native providers like MS Azure or AWS or Google Cloud or any major Cloud vendors in the market and their services
• Independently investigate, present options, review and implement completely new functionality
• You will work closely with other development teams, product management, UX, and QA to define and implement a new product offering while ensuring continued functionality.
• Perform code reviews, set coding practices and guidelines within the team
• Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases
• Work with geographically distributed teams

Minimum Qualifications:

• Knowledge and experience in highly distributed software systems, ability to understand the nuances and solve problems related to scale, performance and resiliency of such a system
• Experience in programming languages: Golang, Java, Python any objected oriented high level proprietary or open source language with strong programming constructs.
• Good understanding of programming fundamentals & their application to highly scalable web-based systems
• Experience in developing polyglot software using service definition language and framework like gRPC, Thrift, Google Protocol Buffers, OpenAPI etc.
• Must have hands on SQL or No SQL technologies.
• Experience working on CICD methodology and Git based workflow
• Experience in Docker technologies including experience in optimizing Docker image and managing Docker image lifecycle. Experience in orchestration systems like Kubernetes and container technologies like Docker, rkt is a plus
• Excellent written and verbal communication skills
• Strong interpersonal, team building, and mentoring skills
• BS/MS degree in Computer Science or equivalent with 3+ years of software development experience

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

Designation: Technical Lead (ABL_SS_272)

Position description:

• Work with Product and Engineering leaders to drive and implement platform and product vision.
• Leverage deep and wide knowledge of technology stack to recommend appropriate architecture and design solutions, and provide technical leadership to a team of rock star Software Engineers.
• Translate the impact of design choices on non-functional attributes like scalability, performance, availability, and security.
• Create large-scale, multi-tiered, distributed web applications with databases, and designing web services, APIs, data models, and schemas, using SQL or NoSQL.
• Experience with Cloud environments, such as AWS.
• Comfortable working with Windows and Linux environments.
• Work with different data storage solutions such as Postgres, Oracle, SQL Server, ElasticSearch, SQL, Hadoop, or MongoDB.
• Experience delivering high-quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Hudson, Sonar, and Fortify, etc.).
• Drive adoption of best practices across the Software Engineering Lifecycle, including reviews, source control, build processes, continuous integration, and deployment.
• Develop and maintain cross-functional relationships and alignment.

Primary Responsibilities:

• Application Development using Golang / C++.

Reporting Department: Application Development and Maintenance (1991)

Educational qualifications preferred Degree: Bachelors degree

Required Skills:

• Experience of building scalable architectures
• Hands-on experience with GoLang, Node Js, C++ or Java or any other Open Source technologies/ Cloud Servers
• Experience in developing software using a formal & structured development methodology
• Ability to work in a collaborative team environment
• Experience with test-driven development & proper unit testing of code
• An iterative approach to development, using short development cycles & frequent builds
• Object-oriented programming/ Object Oriented Design (OOP/OOD)
• Ability to develop secure solutions & knowledge of industry best practices regarding information security & defensive development

• Writing scalable, robust,, testable, efficient, and easily maintainable code

• Translating software requirements into stable, working, high performance software

• Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architecture

• (Add other relevant responsibilities here)

• Strong knowledge of Go programming language, paradigms, constructs, and idioms

• Knowledge of common Goroutine and channel patterns

• Experience with the full site of Go frameworks and tools, including:

  • Dependency management tools such as Godep, Sltr, etc.
  • Go’s templating language
  • Go’s code generation tools, such as Stringer
  • Popular Go web frameworks, such as Revel
  • Router packages, such as Gorilla Mux

• Ability to write clean and effective Godoc comments

• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

You will:

• Build services that serve millions of users
• Build for performance, reliability, and scalability
• Design easy-to-use APIs, systems, and tools
• Work with small teams of engineers, product, design, operation and other teams
• Lead projects, achieve goals, celebrate success with your teams

What you bring:

• 5+ years as individual contributor
• Strong background in Computer Science
• Strong technical expertise in robust and scalable server platform
• Helpful experiences include Java, Python, AWS, GCP, DevOps
• Leadership at bijnis is a service - you must be influential, patient, compassionate, able to prioritize, and able to inspire
• Ability to collaborate across multiple and cross functional teams
• Strategic mindset combined with pragmatic execution, and bias for action