Back end Engineer -Python ,Golang

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.

About Tamasha

Tamasha is building next-generation live, social, and real-time consumer

experiences across gaming, audio, video, and interactive platforms. Our backend

systems power millions of real-time interactions, low-latency data flows, and high

throughput event-driven services.

Role Overview

As a Software Development Engineer III (Backend), you will operate as a senior

individual contributor owning mission-critical backend systems. You will design

scalable architectures, solve complex distributed systems problems, and influence

engineering standards across teams.

Roles & Responsibilities

 Own backend systems end-to-end, from design and implementation to

production reliability and long-term evolution.



Design scalable, fault-tolerant, and low-latency backend architectures for real

time and event-driven use cases.



Lead system design decisions including data models, service boundaries, async

workflows, and scalability strategies.



Build and operate high-throughput services handling millions of events, requests,

or messages per day.

 Own reliability metrics such as p95/p99 latency, uptime, error budgets, and

participate in incident resolution and post-mortems.

Drive architectural migrations including monolith to microservices and

synchronous to asynchronous flows.

 Collaborate with product, frontend, and data teams to translate complex

requirements into robust backend solutions.



Improve developer productivity by contributing to internal platforms, tooling,

CI/CD pipelines, and coding standards.



Mentor engineers through design reviews, code reviews, and technical guidance

without direct people management.



Proactively identify performance bottlenecks, cost inefficiencies, and scalability

risks and resolve them at the system level.

Tech Stack

Backend: Node.js (NestJS / Express), Golang, Java

Databases: PostgreSQL, MySQL, MongoDB, Redis

Messaging & Async: Kafka, SQS, RabbitMQ, Pub/Sub

Real-time: WebSockets, Server-Sent Events

Cloud & Infra: AWS / GCP, Docker, Kubernetes

Observability: Prometheus, Grafana, OpenTelemetry

What We’re Looking For

• 5+ years of backend engineering experience

• Proven ownership of production systems at scale

• Strong understanding of distributed systems and async architectures

• Experience handling production incidents and system reliability

• Ability to independently design and evolve backend systems

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding.

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (Preferably Top product companies, AI native companies, B2B SaaS)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Mandatory (Note): Candidates who have owned end-to-end product development or worked on app development projects during their graduation will be highly preferred.

Mandatory (Note 2): The role offers a mix of work setups, including remote, Mumbai (in-office), and Bangalore (in-office) opportunities

Company Description

BeBetta is a gamified platform designed for gamers who crave excitement, engagement, and real-world rewards. By playing games and making live predictions, users earn BetCoins, which can be redeemed for tangible prizes. Our unique approach blends gaming, predictions, and rewards, driving an immersive experience that revolutionizes user engagement. We are a high-growth, data-driven, and gamified tech startup committed to innovation and impact.

The Opportunity:

BeBetta is building the future of fan engagement. To do this, we need a backend that can handle millions of concurrent users making real-time predictions during live events. This requires a shift in our technology towards systems built for massive scale and low latency.

That’s where you come in. We are looking for a Senior Backend Engineer to lead our transition to a Go-based microservices architecture. You will be the driving force behind our most critical systems—the prediction engine, the rewards ledger, the real-time data pipelines. While our roots are in Node.js, our future is in Go, and you will be instrumental in building that future.

What You'll Achieve:

• Architect our core backend in Golang: You will design and build the services that are the backbone of the BeBetta experience, ensuring they are blazingly fast and incredibly reliable.
• Solve hard concurrency problems: You'll tackle challenges unique to real-time gaming and betting, ensuring fairness and accuracy for thousands of simultaneous user actions.
• Drive technical strategy: You will own the roadmap for evolving our architecture, including the thoughtful migration of essential services from Node.js to Go.
• Elevate the engineering bar: Through mentorship, exemplary code, and architectural leadership, you will help make our entire team better.
• Ship with impact: You will see your work go live quickly, directly enhancing the experience for our growing user base.

What You'll Bring:

• A track record of building and deploying high-performance backend systems in Golang.
• Senior-level experience (4+ years) in system design, microservices, and API development.
• Pragmatic experience with Node.js and an understanding of how to manage and migrate a monolithic or service-based system.
• Deep knowledge of database principles (PostgreSQL preferred) and high-performance data access patterns (using tools like Redis).
• Expertise in modern infrastructure: Docker, Kubernetes, and a major cloud provider (GCP/AWS).
• A strong belief that testing, observability, and clean architecture are not optional.
• An innate curiosity and a passion for solving complex problems, whether they're in code or on a whiteboard.

Why You'll Love Working Here:

This isn't just another backend role. This is a chance to put your fingerprint on the foundational technology of a fast-growing company in the exciting world of sports tech and gaming. You'll have the autonomy to make big decisions and the support of a team that's all-in on the mission.

Responsibilities :

- Develop server side applications in C++

- Contribute in analysis based on requirements. Analysis can be in the form of research and producing Proof of Concepts.

- Produce documents and specifications wherever required.

- Work collaboratively with other developers and QA engineers to deliver the solutions.

Key Responsibilities:

• Rewrite existing APIs in NodeJS.
• Remodel the APIs into Micro services-based architecture.
• Implement a caching layer wherever possible.
• Optimize the API for high performance and scalability.
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required:

• At least 2.5 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
• Excellent hands-on experience using MySQL or any other SQL Database.
• Good knowledge of MongoDB or any other NoSQL Database.
• Good knowledge of Redis, its data types, and their use cases.
• Experience with graph-based databases like GraphQL and Neo4j.
• Experience developing and deploying REST APIs.
• Good knowledge of Unit Testing and available Test Frameworks.
• Good understanding of advanced JS libraries and frameworks.
• Experience with Web sockets, Service Workers, and Web Push Notifications.
• Familiar with NodeJS profiling tools.
• Proficient understanding of code versioning tools such as Git.
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
• Experience building a large-scale social or location-based app.

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

The key aspects of this role: 

• Candidate with exceptional programming skills, problem-solving abilities and strong work  ethic. 
• The candidate has to work on custom programming and web application development for  Drupal. 
• Testing, maintenance and troubleshooting of existing company sites and resolving issues if  any. 
• Contributing ideas and efforts towards internal projects and working as part of a team to  find solutions on various problems. 
• Communicate technical ideas to business users and other teams (design, QA). • Collaborate with team members and to work independently when needed. • Eager to embrace current and emerging web technologies. 

To be the right fit, you'll need: 

• Experience of total 4+ years working on PHP and Drupal 7,8 Development (at least 2+ years  in Drupal 8) 
• Strong knowledge of MySQL, jQuery, HTML5, CSS 
• Experience with Drupal architecture, best practices and coding standards 
• Knowledge on Views, Services etc. 
• Experience in custom module and theme creation 
• Familiar with sub version control systems such as Git or SVN 
• Basic knowledge of environment setup for Linux distribution