Full Stack Python Developer - Web Frameworks

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.

Intern (GenAI - Python) - 3 Months Unpaid Internship

Job Title: GenAI Intern (Python) - 3 Months Internship (Unpaid)

Location: Ahmedabad (On-Site)

Duration: 3 Months

Stipend: Unpaid Internship

Company: Softcolon Technologies

About the Internship:

Softcolon Technologies is seeking a dedicated GenAI Intern who is eager to delve into real-world AI applications. This internship provides hands-on experience in Generative AI development, focusing on RAG systems and AI Agents. It is an ideal opportunity for individuals looking to enhance their skills in Python-based AI development through practical project involvement.

Eligibility:

• Freshers or currently pursuing BE (IT/CE) or related field
• Strong interest in Generative AI and real-world AI product development

Required Skills (Must Have):

• Basic knowledge of Python
• Basic understanding of Python frameworks like FastAPI and basic Django
• Familiarity with APIs and JSON
• Submission of resume, GitHub Profile/Project Portfolio, and any AI/Python project links

What You Will Learn (Internship Goals):

You will gain hands-on experience in:

• Fundamentals of Generative AI (GenAI)
• Building RAG (Retrieval-Augmented Generation) applications
• Working with Vector Databases and embeddings
• Creating AI Agents using Python
• Integrating LLMs such as OpenAI (GPT models), Claude, Gemini
• Prompt Engineering + AI workflow automation
• Building production-ready APIs using FastAPI

Responsibilities:

• Assist in developing GenAI-based applications using Python
• Support RAG pipeline implementation (embedding + search + response)
• Work on API integrations with OpenAI/Claude/Gemini
• Assist in building backend services using FastAPI
• Maintain project documentation and GitHub updates
• Collaborate with team members for tasks and daily progress updates

Selection Process:

• Resume + GitHub portfolio screening
• Short technical discussion (Python + basics of APIs)
• Final selection by the team

Why Join Us?

• Practical experience in GenAI through real projects
• Mentorship from experienced developers
• Opportunity to work on portfolio-level projects
• Certificate + recommendation (based on performance)
• Potential for a paid role post-internship (based on performance)

How to Apply:

Share your resume and GitHub portfolio link via:

Job Title: Golang Developer

Location: Kolkata

Job Type: Full-time

Working Days: 5 Days (Rotational off)

About the Role:

We are seeking a skilled Golang Developer with experience in Golang, Node.js, WebSocket

communication, and API development. In this role, you will work closely with our development

team to design, develop, and maintain high-performance backend systems and real-time

applications.

Key Responsibilities:

 Design, build, and maintain efficient, reusable, and reliable Golang code.

 Develop scalable APIs and microservices.

 Integrate and build real-time communication using WebSocket protocols.

 Collaborate with frontend developers and other team members to establish objectives

and design more functional, cohesive systems.

 Write clean, maintainable, and well-documented code.

 Optimize applications for maximum performance, scalability, and security.

 Participate in code reviews, contribute to team knowledge, and continuously improve

development processes.

 Troubleshoot, debug, and upgrade existing systems.

 Occasionally work with Node.js services and modules when needed.

Required Skills and Qualifications:

 Min 3+ years of experience in backend development with Golang.

 Solid understanding of Node.js and JavaScript/TypeScript.

 Hands-on experience with WebSocket integration and real-time applications.

 Strong knowledge of RESTful APIs, API design principles, and API documentation. Experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).

 Good understanding of concurrent programming and microservices architecture.

 Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.

 Knowledge of containerization tools like Docker and Kubernetes is a plus.

 Strong problem-solving skills, attention to detail, and a proactive attitude.

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

• Work across all phases of application development including requirement gathering, coding, release, bug fixing, documentation.
• Lead and mentor a team of developers guiding them in their day to day activities.
• Collaborate with other engineering teams to develop and deliver new features and enhance existing ones.
• Rapid prototyping (POCs) based on requirements.
• Test, debug and fix any functional or non-functional issues.
• Work with the architects to ensure feasibility of the design while ensuring all quality attributes are met.
• Participate in deployment and release activities.

• 5+years of relevant experience.
• Experience in leading a team.
• Expertise in Python, Django DRF, REST APIs
• Experience with Document DB, RDBMS and ORM.
• Demonstrated ability to write clean and testable code.
• Knowledge of MongoDB, PostgreSQL, Redis, ElasticSearch is preferred.
• Exposure to AWS will be an added advantage.
• Familiarity with front-end technologies (ReactJS, Javascript etc) will be a plus.
• Strong team player who can work efficiently in a highly collaborative effort.
•  Self-motivated and able to work independently as well as within a team.

About Rolling Arrays

Rolling Arrays provides HR Software and HR System Implementation Services (SAP SuccessFactors, Qualtrics, Reimburse, CICO, eFile, eAuthoring) to Clients in Singapore, Malaysia, Australia, UAE, Hong Kong. Rolling Arrays (RA) was featured as Singapore’s Top 75 fastest growing companies by the leading newspaper of Singapore - The Straits Times in 2021 where RA was ranked 48. Rolling Arrays has 2 lines of businesses: 

HR System Implementation Services: 

Rolling Arrays is regarded as number ONE mid-size firm in the South East Asian Market with a strong track record of 12 Years and more than 200 enterprise level HR Technology Implementation projects till date. The services include – 

• SAP SuccessFactors Design Consulting
• SAP SuccessFactors Implementation
• SAP SuccessFactors Change Management
• SAP SuccessFactors Support Services (AMS)

HR Software Products in Rolling Arrays’ portfolio (partner’s products and own products): 

• SAP SuccessFactors (World’s leading End to End Cloud HR Software solution)
• Qualtrics (World’s leading Experience Management Software)
• Reimburse (AI Enabled Travel & Expense Management Software for Enterprises)
• CICO (Intelligent Time Capture Machine, a software alternative to Physical Biometric Devices)
• eFile (Digitize and contextualize all employee documents in one place)
• eAuthoring (Author and publish your own learning content to capture tacit knowledge in the organization)

• Python. Django Rest Framework experience would be great, but not essential! We prioritise
• quality over quantity.
• Postgres with InfluxDB, Oracle, MySQL and Redis experience a plus.
• Docker, Kubernetes, Helm, OpenShift and associated tooling.
• AWS, especially ECS, Lambda, RDS and DynamoDB. Performance and uptime are super
• important to us.
• The challenge of scaling a global, distributed API to 10,000+ requests per second.
• We have SDKs in a bunch of languages, so the more polyglot you are the better.
• If you like writing JS and React that would be awesome too.

Preferred Notice Period - Less Than 1 Month

Preferred Education - Tier 1 Engineering Colleges - IIT/NIT/DTU or similar

Preferred Work Background - Startup Engineering Experience

Mandatory Skills :-

4+ years of professional experience in Native React or React JS. Mongo db experience is good to have

Highly proficient in rendering components with Native APIs

Highly proficient in JavaScript, modern JavaScript, HTML,

Highly proficient in one or more libraries (e.g. Redux, React Router, etc) for state managing and routing in addition to React.

Proficient in using Git as a control system

Responsibilities :-    

Develop & deploy quality software and web applications-

Analyse and maintain existing software applications-

Design highly scalable, testable code-

Discover and fix programming bugs

Qualifications :-

Bachelor's degree or equivalent experience in Computer Science

This is FTE Position

Client: Anblicks

Need Immediate joiners (1 week is fine)

Position : Backend Developer(NodeJs ,MongoDB & AWS)

Experience : 3-6 Years

Location : Ahmedabad / Hyderabad

• API Development 3 + years
• Node.JS (3 Years minimum)
• JavaScript
• AWS Lambda
• AWS API Gateway
• AWS Cognito
• MongoDB
• Front-end  React (Plus as primary need is for API Development)
• Data Modelling Knowledge
• Need to provide sample code

Strong Hands-on experience in React using API development and Mongo DB is mandatory. 

Demonstrated experience in Development, unit test application modules based on specified design using PHP, AngularJS, NodeJS, HMTL5, CSS, J2EE/DB2 technologies using Agile Methods