Golang Developer

Key Responsibilities:

• Design and develop backend components and sub-systems for large-scale platforms under guidance from senior engineers.
• Contribute to building and evolving the next-generation customer data platform.
• Write clean, efficient, and well-tested code with a focus on scalability and performance.
• Explore and experiment with modern technologies—especially open-source frameworks—
• and build small prototypes or proof-of-concepts.
• Use AI-assisted development tools to accelerate coding, testing, debugging, and learning while adhering to engineering best practices.
• Participate in code reviews, design discussions, and continuous improvement of the platform.

Qualifications:

• 0–2 years of experience (or strong academic/project background) in backend development with Java.
• Good fundamentals in algorithms, data structures, and basic performance optimizations.
• Bachelor’s or Master’s degree in Computer Science or IT (B.E / B.Tech / M.Tech / M.S) from premier institutes.

Technical Skill Set:

• Strong aptitude and analytical skills with emphasis on problem solving and clean coding.
• Working knowledge of SQL and NoSQL databases.
• Familiarity with unit testing frameworks and writing testable code is a plus.
• Basic understanding of distributed systems, messaging, or streaming platforms is a bonus.

AI-Assisted Engineering (LLM-Era Skills):

• Familiarity with modern AI coding tools such as Cursor, Claude Code, Codex, Windsurf, Opencode, or similar.
• Ability to use AI tools for code generation, refactoring, test creation, and learning new systems responsibly.
• Willingness to learn how to combine human judgment with AI assistance for high-quality engineering outcomes.

Soft Skills & Nice to Have

• Appreciation for technology and its ability to create real business value, especially in data and marketing platforms.
• Clear written and verbal communication skills.
• Strong ownership mindset and ability to execute in fast-paced environments.
• Prior internship or startup experience is a plus.

We are looking for a Python Backend Developer to design, build, and maintain scalable backend services and APIs. The role involves working with modern Python frameworks, databases (SQL and NoSQL), and building well-tested, production-grade systems.

You will collaborate closely with frontend developers, AI/ML engineers, and system architects to deliver reliable and high-performance backend solutions.

Key Responsibilities

• Design, develop, and maintain backend services using Python
• Build and maintain RESTful APIs using FastAPI
• Design efficient data models and queries using MongoDB and SQL databases (PostgreSQL/MySQL)
• Ensure high performance, security, and scalability of backend systems
• Write unit tests, integration tests, and API tests to ensure code reliability
• Debug, troubleshoot, and resolve production issues
• Follow clean code practices, documentation, and version control workflows
• Participate in code reviews and contribute to technical discussions
• Work closely with cross-functional teams to translate requirements into technical solutions

Required Skills & Qualifications

Technical Skills

• Strong proficiency in Python
• Hands-on experience with FastAPI
• Experience with MongoDB (schema design, indexing, aggregation)
• Solid understanding of SQL databases and relational data modelling
• Experience writing and maintaining automated tests
• Unit testing (e.g., pytest)
• API testing
• Understanding of REST API design principles
• Familiarity with Git and collaborative development workflows

Good to Have

• Experience with async programming in Python (async/await)
• Knowledge of ORMs/ODMs (SQLAlchemy, Tortoise, Motor, etc.)
• Basic understanding of authentication & authorisation (JWT, OAuth)
• Exposure to Docker / containerised environments
• Experience working in Agile/Scrum teams

What We Value

• Strong problem-solving and debugging skills
• Attention to detail and commitment to quality
• Ability to write testable, maintainable, and well-documented code
• Ownership mindset and willingness to learn
• Teamwork

What We Offer

• Opportunity to work on real-world, production systems
• Technically challenging problems and ownership of components
• Collaborative engineering culture

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: Backend Engineer – Python (AI Backend)

Location: Bangalore, India

Experience: 1–2 Years

Job Description

We are looking for a Backend Engineer with strong Python skills and hands-on exposure to AI-based applications. The candidate will be responsible for developing scalable backend services and supporting AI-powered systems such as LLM integrations, AI agents, and RAG pipelines.

Key Responsibilities

• Develop and maintain backend services using Python (FastAPI preferred)
• Build and manage RESTful APIs for frontend and AI integrations
• Support development of AI-driven features (LLMs, RAG systems, AI agents)
• Design and maintain both monolithic and microservices architectures
• Optimize database performance and backend scalability
• Work with DevOps for Docker-based deployments

Required Skills

• Strong experience in Python backend development
• Hands-on experience with FastAPI / Django / Flask
• Knowledge of REST APIs and microservices
• Experience with AI applications (LLM usage, prompt engineering basics)
• Database knowledge: MongoDB, PostgreSQL or MySQL
• Experience with Docker and basic cloud platforms (AWS/GCP/Azure)
• Hands-on experience with Redis for caching and in-memory storage

Good to Have

• Experience integrating payment gateways (Razorpay, Stripe, PayU, etc.)
• Exposure to event-driven architectures using RabbitMQ, Kafka, or Redis Streams
• Kubernetes
• Understanding of model fine-tuning concepts

Real people. Real service.

At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers.

Through an Employer of Record (EOR), we are looking for a new, remote Backend Engineer in India to join our growing IT Team. This individual will report into our Full Stack Team Lead and have the opportunity to work on impactful projects that enhance our e-commerce platform and internal operations, while honing your skills in backend and full stack development. If you’re passionate about creating user-friendly interfaces, building scalable systems, and contributing to innovative solutions in a collaborative and fun environment, we’d love to hear from you! 

Role Type: Full-Time

Location: Remote from India

Schedule: Monday through Friday, 4:00 a.m. – 1:00 p.m. U.S. Eastern Time / 12:00 p.m. – 9:00 p.m. Indian Standard Time to ensure effective collaboration 

Base Salary: $25,000 - $30,000 USD per year

Responsibilities:

• Collaborate with cross-functional teams to gather and refine requirements, ensuring alignment with business needs.
• Design, develop, test, deploy, and maintain scalable, high-performance software applications.
• Develop and enhance internal tools and applications to improve company operations.
• Ensure system reliability, optimize application performance, and implement best practices for scalability.
• Continuously improve existing codebases, conducting code reviews, and implementing modern practices.
• Stay up to date with emerging technologies, trends, and best practices in software development.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 3+ years of hands-on experience in backend and/or full-stack development with a proven track record of delivering high-quality software.

Back-End Skills:

• Proficiency in Java and experience with back-end frameworks like Spring Boot.
• Strong understanding of database design, RDBMS concepts, and experience with SQL.
• Knowledge of RESTful API design and integration.

Development Lifecycle: Proven ability to contribute across the entire software development lifecycle, including planning, design, coding, testing, deployment, and maintenance.

Tools & Practices:

• Familiarity with version control systems, like Git, and CI/CD pipelines.
• Experience with agile development methodologies.

Additional Skills:

• Strong problem-solving and debugging capabilities.
• Ability to create reusable code libraries and write clean, maintainable code.
• Strong communication and collaboration skills to work effectively within a team and across departments.
• High-level proficiency of written and verbal communication in English.

Preferred Qualifications:

• Proficiency in HTML5, CSS3, JavaScript (ES6+), and responsive design principles.
• Expertise in modern JavaScript frameworks and libraries such as React, Angular, or Vue.js.
• Experience with cross-browser compatibility and performance optimization techniques. 
• Experience working on Frontend responsibilities such as: 
• Designing and implementing reusable, maintainable UI components and templates.
• Working closely with Designers to ensure technical feasibility and adherence to UI/UX design standards.
• Managing and updating promotional banners and site-wide templates to ensure timely execution of marketing initiatives.

Why work with us: 

• We have awesome benefits – We offer a wide variety of benefits to help support you and your loved ones. These include: Comprehensive and affordable medical, dental, vision, and life insurance options; Competitive Provident Fund contributions; Paid casual and sick leave, plus country-specific holidays; Mental health support and wellbeing program; Company-provided equipment and one-time $250 USD work from home stipend; $750 USD annual professional development budget; Company rewards and recognition program; And more!
• We promote work-life balance – We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our 100% remote schedule and wellness initiatives! 
• We support growth– We strive to innovate every day. In an exciting and evolving industry, we provide potential for career growth through our hands-on training, access to the latest technologies and tools, diversity and inclusion initiatives, opportunities for internal mobility, and professional development budget. 
• We give back –We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for DE&I organizations, and more.  
• We listen – We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. 

Check us out and learn more at https://www.supplyhouse.com/our-company! 

Additional Details: 

• Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations.   
• SupplyHouse.com is an Equal Opportunity Employer, strongly values inclusion, and encourages individuals of all backgrounds and experiences to apply for this position. 
• To ensure fairness, all application materials, assessments, and interview responses must reflect your own original work. The use of AI tools, plagiarism, or any uncredited assistance is not permitted at any stage of the hiring process and may result in disqualification. We appreciate your honesty and look forward to seeing your skills. 
• We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations.
• All emails from the SupplyHouse team will only be sent from an @supplyhouse.com email address. Please exercise caution if you receive an email from an alternate domain.

What is an Employer of Record (EOR)?

Through our partnership with Remote.com, a global Employer of Record (EOR), you can join SupplyHouse from home, while knowing your employment is handled compliantly and securely. Remote takes care of the behind-the-scenes details – like payroll, benefits, taxes, and local compliance – so you can focus on your work and career growth. Even though Remote manages these administrative functions, you’ll be a part of the SupplyHouse team: connected to our culture, collaborating with colleagues, and contributing to our shared success. This partnership allows us to welcome talented team members worldwide while ensuring you receive a best-in-class employee experience.

Looking for candidates only with tier 1 colleges OR have experience in a product-based company.

Desired Skills :

● Experience with data modeling and SQL/NoSQL databases

● Experience with distributed systems and microservices

● Good experience in working with any of Java/SpringBoot, GoLang or NodeJS

● Excellent problem solving and debugging skills

● Passionate about the experience of software engineering as much as the output

● A strong sense of ownership

● Ability to communicate your ideas and approach to solving problems with clarity

We are looking for candidates with 0.5 - 2 years of work experience*

ByteAlly is a software consultancy based out of Chennai focusing heavily on the supply chain industry. Our solutions span Blockchain solutions, Food traceability, B2B integrations, and enterprise applications. We are looking for a Back End developer to join our force.

• Proficiency in C# - Experience using .NET Core.
• Experience in developing ASP.NET MVC / ASP.NET Core WEB API applications
• Extensive knowledge of Entity Framework/ EF Core
• Proficient knowledge of SQL Server
• Knowledge in React.JS preferred
• Extensive experience in performance tuning and code optimization

Please Note: We are also looking for candidates who are available to join immediately or with a notice period of maximum 30 days.

• 4 year degree or equivalent experience
• 8 to 13 years of software development experience 
• Demonstrates broad and deep expertise in any programming languages(Java, GoLang) and open source frameworks (e.g., Spring Boot, Micronut).
• Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure and microservices.
• Must have exposure to at least one cloud product/platform development.
• Working knowledge of any one client side framework like ReactJS or Angular, etc.
• Should have exposure to one or more databases like Cassandra, MongoDB, Graph, Redis, Elastic Search and Postgres.

Brief Overview:

Through your work at Vauld, you will have the opportunity to change money for the 21st century. We’re a leading cryptocurrency platform and are passionate about increasing economic freedom around the world. 

We are looking for a Lead Backend Engineer who has hands-on experience working with and leading Product teams and has solved for and built complex backend solutions. You'll be involved with bringing features and products from idea to completion and mentoring an incredibly talented group of peers.

If you are looking for a challenging work environment where you can grow and deepen your technical skills as a backend engineer and architect, we’d love to chat with you!

Key Responsibilities:

• Working with CXO’s, product managers, devops, and frontend engineers to collaboratively own the backend-end layer for Vauld’s application.
• Architect and build highly scalable, secure features keeping the long term vision of the product.

Requirements:

• You have 7 years or more of backend development experience with expertise in designing and implementing high-performance applications.
• Worked with and built high performance products using Node Js/GoLang/ Python and have seen the product evolution cycle from PoC to Production 
• You have a deep understanding of design principles and can rightly judge/implement solutions to complex problems
• You are capable of writing high-quality code that conforms to the standards and best practices in a particular language/framework.
• You have experience building a product using a mainstream library or framework.
• You love to own end to end responsibility, starting from defining the problem statement (either yourself or alongside your peers), development (PoC if needed), testing, releasing in staging & then production environment, and finally monitoring.

Preferred:

• Previous work experience in product-based startups
• Experience building for products that have scaled and have seen the product evolution
• Understands the cryptocurrency landscape

Working at Vauld:

You will join a fun and intellectually stimulating work environment. If you’re excited by the idea of making a real impact and joining a team where we pride ourselves on being disruptive and ambitious, a career with Vauld is perfect for you.