Founding Engineer (Back End)

Company Description

Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.

From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.

With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.

About the Role

Our client is hiring a Backend Engineer (India-based, Remote) to design, build, and scale the core memory infrastructure powering production-grade AI agents.

This role is intended for an experienced engineer with 7–10 years of backend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.

The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.

Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.

What You'll Own

• Build and scale backend systems powering the memory infrastructure of the product
• Own and deliver features end-to-end, integrating AI coding tools into the core development workflow
• Design, manage, and optimize database, storage, and retrieval systems for persistent memory
• Collaborate closely on system architecture, scalability, performance, and reliability engineering
• Contribute directly to product roadmap decisions based on real customer usage and production insights

Requirements

Must-Have

• 7–10 years of backend engineering experience
• Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
• Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
• Strong Python fundamentals
• Strong PostgreSQL or comparable relational database fundamentals
• Comfort owning systems end-to-end in production
• Based in India, remote work from anywhere in the country

Nice-to-Have

• Prior AI infrastructure or developer tools product experience
• FastAPI fluency
• Open-source contributions in AI, memory, vector databases, or developer tools
• Prior experience in memory systems, RAG pipelines, or vector database engineering
• Public technical writing or conference talks on AI-native engineering practices

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.

ey Responsibilities:

• Design, develop, and maintain microservices using Java (Spring Boot).
• Implement RESTful APIs and ensure integration with front-end and third-party services.
• Work with AWS services such as EC2, ECS, Lambda, S3, RDS, API Gateway, CloudWatch, etc.
• Utilize CI/CD pipelines (Jenkins / GitHub Actions / AWS CodePipeline) for deployment automation.
• Implement security, scalability, and high availability best practices in microservice architecture.
• Collaborate with DevOps, QA, and Product teams to deliver robust solutions.
• Monitor and troubleshoot production issues using AWS CloudWatch / ELK / Prometheus & Grafana.
• Participate in code reviews, design discussions, and agile ceremonies.

Required Skills & Qualifications:

• Strong proficiency in Java 8+, Spring Boot, Spring Cloud, and RESTful APIs.
• Solid understanding of microservices architecture and service discovery / communication patterns (Eureka, Feign, Ribbon, etc.).
• Hands-on experience with AWS Cloud (ECS, Lambda, API Gateway, RDS, DynamoDB, S3, CloudFormation).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Proficient in RDBMS / NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiar with CI/CD pipelines, Git, and DevOps best practices.
• Knowledge of message brokers (Kafka, RabbitMQ, SQS) is a plus.
• Strong debugging, problem-solving, and analytical skills.

About the Role 

As a result of our rapid growth, we are looking for a Java Backend Engineer to join our existing Cloud Engineering team and take the lead in the design and development of several key initiatives of our existing Miko3 product line as well as our new product development initiatives. 

Responsibilities 

•  Designing, developing and maintaining core system features, services and engines
• Collaborating with a cross functional team of the backend, Mobile application, AI, signal processing, robotics Engineers, Design, Content, and Linguistic Team to realize the requirements of a conversational social robotics platform which includes investigate design approaches, prototype new technology, and evaluate technical feasibility
• Ensure the developed backend infrastructure is optimized for scale and responsiveness 
• Ensure best practices in design, development, security, monitoring, logging, and DevOps adhere to the execution of the project. 
• Introducing new ideas, products, features by keeping track of the latest developments and industry trends 
• Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules

Requirements 

• Proficiency in distributed application development lifecycle (concepts of authentication/authorization, security, session management, load balancing, API gateway), programming techniques and tools (application of tested, proven development paradigms)  
• Proficiency in working on Linux based Operating system. 
• Proficiency in at least one server-side programming language like Java. Additional languages like Python and PHP are a plus 
• Proficiency in at least one server-side framework like Servlets, Spring, java spark (Java). 
• Proficient in using ORM/Data access frameworks like Hibernate,JPA with spring or other server-side frameworks. 
• Proficiency in at least one data serialization framework: Apache Thrift, Google ProtoBuffs, Apache Avro,Google Json,JackSon etc. 
• Proficiency in at least one of inter process communication frameworks WebSocket's, RPC, message queues, custom HTTP libraries/frameworks ( kryonet, RxJava ), etc.  
• Proficiency in multithreaded programming and Concurrency concepts (Threads, Thread Pools, Futures, asynchronous programming). 
• Experience defining system architectures and exploring technical feasibility tradeoffs (architecture, design patterns, reliability and scaling)
• Experience developing cloud software services and an understanding of design for scalability, performance and reliability
• Good understanding of networking and communication protocols, and proficiency in identification CPU, memory & I/O bottlenecks, solve read & write-heavy workloads. 
• Proficiency is concepts of monolithic and microservice architectural paradigms. 
• Proficiency in working on at least one of cloud hosting platforms like Amazon AWS, Google Cloud, Azure etc.   
• Proficiency in at least one of database SQL, NO-SQL, Graph databases like MySQL, MongoDB, Orientdb 
• Proficiency in at least one of testing frameworks or tools JMeter, Locusts, Taurus 
• Proficiency in at least one RPC communication framework: Apache Thrift, GRPC is an added plus 
• Proficiency in asynchronous libraries (RxJava), frameworks (Akka),Play,Vertx is an added plus 
• Proficiency in functional programming ( Scala ) languages is an added plus 
• Proficiency in working with NoSQL/graph databases is an added plus 
• Proficient understanding of code versioning tools, such as Git is an added plus 
• Working Knowledge of tools for server, application metrics logging and monitoring and is a plus Monit, ELK, graylog is an added plus 
• Working Knowledge of DevOps containerization utilities like Ansible, Salt, Puppet is an added plus 
• Working Knowledge of DevOps containerization technologies like Docker, LXD is an added plus  
• Working Knowledge of container orchestration platform like Kubernetes is an added plus 

As a Tech Lead I (Backend) at Gocomet, you will be pivotal in driving backend development initiatives. Your role will involve leading the design and implementation of robust backend systems, ensuring high performance and responsiveness to requests from the front-end.

You will work closely with other team leads and departments to define and meet the technical and business requirements.

Roles and Responsibilities:

• Backend vision & ownership: Architect and implement scalable and efficient backend solutions, contributing significantly to the design and overall architecture, keeping in mind a long term vision of the product & scale.
• Optimize Performance: Focus on optimizing the application for maximum speed and scalability, including database optimization, effective caching strategies, improving code health, code design & refactoring, etc.
• Technical Innovation: Suggest innovative solutions wherever required for problems related to new product requirements & scale related issues. Stay abreast of emerging backend technologies and trends, advocating and leading the adoption of technologies that will give a competitive edge to our products.
• Mentor and Guide: Provide mentorship and guidance to backend development team members, ensuring the dissemination of best practices and efficient use of technology stacks. Take ownership of hiring & building a high quality backend team.
• Quality Assurance: Uphold high standards in code quality, including rigorous code review processes, and ensure adherence to industry best practices in backend development.

Experience & Skills:

• Backend Expertise: 4-6 years of experience in backend development, with a deep understanding of server-side logic, architecture design & handling scalability issues.
• Cloud & DevOps exposure: Experience with Cloud (GCP or AWS) with a deep understanding of different services, resources utilisations, CI/CD pipelines, Observability tools (Sentry, New Relic / Datadog, etc.) and an ability to debug infra related issues.
• Strong Technical Skills: Strong expertise in a Backend development framework (preferably Ruby on Rails but not mandatory), SQL & NoSQL database technologies.

(like Postgresql and MongoDB), Caching (Redis), Async job frameworks (like Sidekiq), etc.

• Problem-Solving Ability: Strong analytical and problem-solving skills, research ability with a proven track record of delivering high-quality software solutions.
• Leadership Skills: Demonstrated experience in mentoring backend development teams and taking complete tech ownership.
• Communication Skills: Excellent verbal and written communication skills, with the ability to clearly articulate technical challenges and solutions to both technical and non-technical team members.
• Continuous Learning: A commitment to continuous learning and staying current with the latest backend development trends and technologies.

Benefits:

• Collaborative and innovative work environment.
• Dynamic & high-performing team that thrives in a fast-paced environment.
• Opportunities for professional growth and development.
• Cutting-edge technology stack and tools.
• Make a significant impact on our products and the user experience.
• Join a team of passionate, creative, and driven individuals.
• 5 Days working.
• Flexible Working Hours.
• Experience good work culture with regular fun activities.
• Health medical insurance coverage with Family, etc.

Job Location: Bangalore

Why Gocomet?

GoComet is a dynamic SaaS start-up that provides AI-powered transportation visibility solutions to revolutionize the trillion-dollar logistics sector. At GoComet, we are revolutionizing the logistics sector one day at a time, and every team member is committed to making it a reality.

We're seeking individuals who embody our core values, character, and attitude. While we recognize that skills can be developed with the right mindset and learnability, we prioritize those who share our philosophy. Our recruitment processes reflect this belief.

Look no further if you're looking for a diverse, talented, and vibrant workplace that recognizes and rewards hard work. We're ambitious, fast-paced, and unafraid to experiment, fail, learn, and ultimately succeed. This is us! Join our team if you share our culture and values.

We're an equal-opportunity employer. We welcome qualified applicants from all races, colors, religions, sexes, nationalities, sexual orientations, gender identities, and abilities.

We are hiring for multiple positions.

For any queries, feel free to write to Know more about us:

https://www.youtube.com/watch?v=YxGt9ZCkaA8 https://youtu.be/jv9cAsgenSE https://www.youtube.com/watch?v=Er0dHqxaaXc https://youtu.be/0ql1eCVhiWA

jumpingMinds (jM) is a Mental Health Tech startup leveraging the power of community and technology to disrupt the growing global Mental Health & Wellness industry. It's a first-of-its-kind anonymous safe space designed to instantly make someone under stress feel better through personalized intelligent solutions.

We have consistently seen that ~70% of jM users feel better after just one conversation. We launched the product ~18 months ago, and have received an amazing response with over 700k+ community and better than Best In Class metrics across the board. And to top that, we have been awarded 10+ times, out of which we have been recognized by Google five times already!

jumpingMinds is seeking a skilled Backend Developer with a strong proficiency in Python and Django to join our development team. Your primary focus will be the development and maintenance of the jumpingMinds backend system, scalable to millions of devices. working on different layers of the infrastructure. Therefore, commitment to collaborative problem-solving, sophisticated design, and creating quality products is essential.

Requirements :

• BS/MS degree in Computer Science, Engineering, or a related subject
• 3-4+ yrs experience as Backend, prior startup experience, should have led the team, python django expertise, AWS cloud stack knowledge are all must.
• Prior experience in Team Management
• Backend or Full-Stack experience in a work setting or classroom-setting.
• Work experience, open-source code, or coursework in any of the following languages: Python/Django, Golang, Ruby/Ruby on Rails
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
• Join our dynamic and innovative team to contribute to the development of cutting-edge web applications and make a meaningful impact in the industry.

Why should an employee join ?

We offer a competitive salary, flexible working hours, and opportunities for professional growth and advancement.

We are a fast-growing startup based in Gurgaon, and have just raised our Pre Series A! We are happy to offer the right compensation, the right ESOPs, and the right freedom and autonomy to the right candidate! 

We are looking for a Senior Backend Developer to take our product to the next level. 

* Development with NodeJS and front-end languages/frameworks (jQuery, ReactJS/AngularJS, CSS3, HTML5)
* 4+ years of SQL experience (MySQL preferred)
* Experience developing RESTful Web Services, Web APIs, and micro-services.
* Integrating with a third-party system via RESTful APIs.
* 4+ years of solid experience with SQL and NoSQL-based solutions.
* Experience with AWS deployments.
* Troubleshoot and resolve issues in production and non-production environments.
* Ability to write clean, modular, reusable code (using design patterns) and experience with a unit-test-driven approach to development.

* Familiarity with Elasticsearch is an advantage
* Experience with Redis is an advantage

Responsibilities:

• Resolve complex technical issues and make design decisions to meet the critical requirements of scalable, highly available, multi-tenant enablement of services in the cloud.
• Independently investigate, present options, review and implement completely new functionality OR re-architect an existing solution to meet growing needs
• 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.
• Work with various external (application) teams to integrate with the product and help guide the integration.
• You will implement solutions that include database schema, business logic, and some presentation layer work.
• You will use existing methods and best practices in the software industry to create features and platforms with the highest levels of security, reliability, efficiency, and scalability.
• Experience mentoring senior developers.

Requirements:

• 8+ years of experience in software development experience with a proven track record of making technical decisions
• 8+ years of experience in coding in more than one programming language, e.g. Python, GoLang, node.js, etc
• Intimate working understanding of modern web applications from the database to browser
• Intimate understanding of MongoDB and extensive experience with database-driven applications
• Great problem-solving skills and ability to abstract functional requirements
• Excellent communicator in both technical and non-technical contexts
• Experience designing and improving complex software applications
• Experience coaching and mentoring developers at various levels of experience
• You have a sound understanding of programming fundamentals & their application to highly scalable web-based systems.
• You have successfully led a small agile team.