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.

Job Title: Golang Developer (Full-time)

Location: Pune (Onsite)

Experience Required: 3+ Years

Working Days: 5 Days (Mon to Fri)

Job Description

• Good problem solving skills and computer science fundamentals.
• Excellent programming skills and deep interest in programming.
• Must have developed projects in the past, hands on experience is must.
• Must think logically and be a self-motivated problem solver
• Should be eager to learn and have demonstrated learning process
• Good to have credentials with hackerrank / hackerearth or similar portals
• Should be excellent in Communication Skills
• Good to have understanding of the end-to-end Web application development.

Technical Attributes:

• Must have good hands on experience with Golang & surrounding frameworks.
• Good to have knowledge in UI technologies like HTML, CSS, any Javascript framework.
• Brownie points for knowing Git Version Control.
• Must have familiarity with RESTful Web service development.
• Must have familiarity with RDBMS - Postgres / MySQL or any. Non relational database is
• a plus.

Roles and Responsibilities:

• Develop and maintain application.
• Follow best coding practices, and create a code that you are proud of, with extensibility, scalability and performance in mind.
• Work in cross functional teams with product managers, UX designers, and QA engineers
• to ship software on-quality and on-time.
• Takes accountability and end-to-end ownership for assigned tasks.

We're Hiring: Golang Developer (3–5 Years Experience)

Location: Mumbai

We are looking for a skilled Golang Developer with strong experience in backend development, microservices, and system-level programming. In this role, you will work on high-performance trading systems, low-latency architecture, and scalable backend solutions.

Key Responsibilities

• Develop and maintain backend services using Golang

• Build scalable, secure, and high-performance microservices

• Work with REST APIs, WebSockets, message queues, and distributed systems

• Collaborate with DevOps, frontend, and product teams for smooth project delivery

• Optimize performance, troubleshoot issues, and ensure system stability

Skills & Experience Required

• 3–5 years of experience in Golang development

• Strong understanding of data structures, concurrency, and networking

• Hands-on experience with MySQL / Redis / Kafka or similar technologies

• Good understanding of microservices architecture, APIs, and cloud environments

• Experience in fintech/trading systems is an added advantage

• Immediate joiners or candidates with up to 30 days notice period preferred

If you are passionate about backend engineering and want to build fast, scalable trading systems.

• System engineering and implementation in Golang.
• Working on performance issues using creative experiments and internally developed product features.
• Research, propose, and integrate relevant open-source projects based on product objectives.
• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.
• Participation in all levels of product definition, design, implementation, testing, and deployment.
• Must include the ability to discuss abstract system architectures from ideas through implementation and
• creatively apply domain experience to solve technical challenges.
• Mentoring software engineers, fostering an environment of trust and accountability.

• Strong Golang skills to develop framework(s).
• Hands-on to design & develop re-usable framework components.
• Hands-On experience on developing framework, designing re-usable framework components.
• Experience in engineering practices such as code refactoring, design patterns, design driven development,
• Continuous Integration, building highly scalable applications, application security and functional programming.

• Knowledge of Cloud native would be an advantage.
• Understanding of Kubernetes from Architecture side and also understand the Standard API.
• Code contributed to CNCF or similar community will be plus.
• Performance benchmarking of K8’s or any cloud will be added advantage.

• Deep understanding of technology and passionate about what you do.
• Background in designing high performant scalable software systems with strong focus to optimize hardware cost.
• Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
• Strong commitment to get the most performance out of a system being worked on.
• Prior development of a large software project using service-oriented architecture operating with real time constraints.

• You will get a chance to work on cloud-native and hyper-scale products
• You will be working with industry leaders in cloud.
• You can expect a steep learning curve.
• You will get the experience of solving real time problems, eventually you become a problem solver.

• Competitive Salary
• Health Insurance
• Open Learning - 100% Reimbursement for online technical courses.
• Fast Growth - opportunities to grow quickly and surely
• Creative Freedom + Flat hierarchy
• Sponsorship to all those employees who represent company in events and meet ups.
• Flexible working hours
• 5 days week
• Hybrid Working model (Office and WFH)

• Initial Resume screening call with our Recruiting team
• Next, candidates will be invited to solve coding exercises.
• Next, candidates will be invited for first technical interview
• Next, candidates will be invited for final technical interview
• Finally, candidates will be invited for Culture Plus interview with HR
• Candidates may be asked to interview with the Leadership team
• Successful candidates will subsequently be made an offer via email
• As always, the interviews and screening call will be conducted via a mix of telephonic and video call.

Job Description

• Architect highly scalable, highly available systems with minimal guidance.
• Developing p2p infrastructure systems to support blockchain interoperability
• Establishing policies and procedures that produce secure, high-quality software
• Write and review technical proposals
• Improve engineering standards, tooling, and processes
• Coding with concurrency, efficiency and scalability as primary motive
• Document systems, build runbooks, and automate those processes
• Being hands on by writing, testing, and deploying high-performance networking code
• Rigor on clean code, unit testing, code coverage and best practices
• Supporting and Leading the team of junior developers

Required qualifications

3+ years of experience in Golang, Strong knowledge of Go programming language, paradigms, constructs, and idioms, willingness to learn on the go, ability to write clean code, a strong sense of responsibility.

Tech Stack

Go, git, linux, bash, ability to work with Docker.

Nice to have

Experience developing in c++, cryptography and system software development experience, understanding of design patterns, understanding of operating systems and networks.