Python Developer

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

🚀 We're Hiring — Backend Developer (3–5 Yrs Exp)

📍 Location: Coimbatore / Remote (India)

⏱ Notice: Immediate

🔧 What You'll Do:

• Build and maintain scalable REST APIs

• Work with Django/Flask on production-grade systems

• Manage databases — PostgreSQL, MySQL, MongoDB

• Implement caching (Redis) & queuing (RabbitMQ/Kafka)

• Deploy & manage services using Docker

• Work on AWS or GCP cloud infrastructure

• Collaborate via Git, CI/CD pipelines

✅ You Should Have:

• 3–5 years of hands-on Python backend experience

• Strong grasp of data structures & design patterns

• Comfort with Linux & version control workflows

• Good communication & team collaboration skills

⭐ Bonus Points:

• Experience with LLM integrations or RAG pipelines

• Familiarity with Vector DBs (Pinecone/ChromaDB)

• Prior startup or fast-paced environment experience

Interested? Drop your resume or refer someone who'd be a great fit! 💼

🚀 Hiring: Python Developer

⭐ Experience: 2+ Years

📍 Location: Mumbai

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Looking for a skilled Python Developer with experience in Django / FastAPI and MongoDB / PostgreSQL.

⭐ Must-Have Skills:-

✅ 2+ years of professional experience as a Python Developer

✅Proficient in Django or FastAPI

✅Hands-on with MongoDB & PostgreSQL

✅Strong understanding of REST APIs & Git

Job title - Python developer

Exp – 4 to 6 years

Location – Pune/Mum/B’lore

PFB JD

Requirements:

• Proven experience as a Python Developer
• Strong knowledge of core Python and Pyspark concepts
• Experience with web frameworks such as Django or Flask
• Good exposure to any cloud platform (GCP Preferred)
• CI/CD exposure required
• Solid understanding of RESTful APIs and how to build them
• Experience working with databases like Oracle DB and MySQL
• Ability to write efficient SQL queries and optimize database performance
• Strong problem-solving skills and attention to detail
• Strong SQL programing (stored procedure, functions)
• Excellent communication and interpersonal skill

Roles and Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using pyspark
• Work closely with data scientists and analysts to provide them with clean, structured data.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams to gather data requirements.
• Ensure data quality and integrity through data validation and cleansing processes.
• Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
• Stay up to date with industry best practices and emerging technologies in data engineering.

Job Summary:

We are looking for a skilled and motivated Python AWS Engineer to join our team. The ideal candidate will have strong experience in backend development using Python, cloud infrastructure on AWS, and building serverless or microservices-based architectures. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable and secure applications in the cloud.

Key Responsibilities:

• Develop and maintain backend applications using Python and frameworks like Django or Flask
• Design and implement serverless solutions using AWS Lambda, API Gateway, and other AWS services
• Develop data processing pipelines using services such as AWS Glue, Step Functions, S3, DynamoDB, and RDS
• Write clean, efficient, and testable code following best practices
• Implement CI/CD pipelines using tools like CodePipeline, GitHub Actions, or Jenkins
• Monitor and optimize system performance and troubleshoot production issues
• Collaborate with DevOps and front-end teams to integrate APIs and cloud-native services
• Maintain and improve application security and compliance with industry standards

Required Skills:

• Strong programming skills in Python
• Solid understanding of AWS cloud services (Lambda, S3, EC2, DynamoDB, RDS, IAM, API Gateway, CloudWatch, etc.)
• Experience with infrastructure as code (e.g., CloudFormation, Terraform, or AWS CDK)
• Good understanding of RESTful API design and microservices architecture
• Hands-on experience with CI/CD, Git, and version control systems
• Familiarity with containerization (Docker, ECS, or EKS) is a plus
• Strong problem-solving and communication skills

Preferred Qualifications:

• Experience with PySpark, Pandas, or data engineering tools
• Working knowledge of Django, Flask, or other Python frameworks
• AWS Certification (e.g., AWS Certified Developer – Associate) is a plus

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field

• 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)

This is a fully remote opportunity

About Us:

We at Ascendeum provide Data and AdTech strategy consultation to businesses worldwide. We started our journey with private funding and has been operating profitably since 2015. We are a lean team of 50+ highly productive and smart people spread across various parts of India who have been consistently delivering intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns.

Job Details:

We are looking for an analytical, results-driven Back-end Engineer who holds a passion to troubleshoot and improve current back-end applications and processes. The Back- end Developer will use his or her understanding of programming languages and tools to analyze current codes and industry developments, formulate more efficient processes, solve problems, and create a more seamless experience for users.

Job Responsibilities:

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement.
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
• Developing ideas for new programs, products, or features by monitoring industry developments and trends.
• Recording data and reporting it to proper parties, such as clients or leadership.
• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team
• members.
• Taking lead on projects, as needed.

Desired Skills and Experience:

• Bachelor’s degree in computer programming, computer science, or a related field.
• Solid experience specializing in developing and managing back-end systems for enterprise-grade applications.
• Strong command on Python and databases such as MySQL.
• Strong understanding of the web development cycle and programming
• techniques and tools.
• Focus on efficiency, user experience, and process improvement.
• Excellent project and time management skills.
• Strong problem solving and verbal and written communication skills.
• Ability to work independently or with a group.

Roles and Responsibilities:
 

Mandatory Skills: 

•  Teamcenter Customization related to ITK, RAC, Active Workspace 
• Strong in programming skills like C, C++, Java & OOPS concepts 
• BMIDE Codeful and codeless customization 
• Teamcenter SOA development 
• TC Configuration e.g., Preferences, ACL, Style sheets etc. 
• Good exposure to Teamcenter data model, Architecture, BMIDE etc., 

What we are looking for: 

• Strong in programming skills like C, C++, Java & OOPS concepts 
• Should have strong knowledge in ITK and should be able to write Handlers, Extension, Scripts and programs 
• Should have good knowledge in RAC, Active workspace customization 
• Should have good knowledge in Workflows, BMIDE, Preferences, Stylesheets, Access Rules, Query Builder, Project etc 
• Should have strong technical capabilities and functional knowledge in multiple PLM Modules. 
• Should have very good understanding of Teamcenter Data Model 

Key responsibilities for this role include:

• Lead one of the product verticals in the development of technology strategy, planning, hiring and execution of the next iteration of the WeInvest platform.

• Institutionalize a strong software engineering culture and facilitate a rapid, iterative, layered development approach.

• Be hands on with the coding, evaluate design and architecture choices, do in-depth code reviews, and implement standards and practices for software development.

• Inspire the engineering team to build quality, scalable code by pairing with team members periodically.

• Participate in the definition and management of high-quality product roadmaps based on business, product & tech strategy.

• Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals.

The ideal candidate will have:

• Masters /BE/ B.Tech from a reputed institute

• About 6-10 years professional experience in software development.

• Excellent logical and analytical reasoning capabilities combined with strong knowledge of core

computer science concepts like algorithms, data structures, software design patterns, OOP etc.

• Should have experience in all the phases of SDLC

• Must have experience in leading a team. (At least 2-3 people)

• Be an expert in ruby on rails with experience OR from Fintech, Wealth Management OR Investment

• Management Domain with experience in any of the programming languages (Java/Python/Ruby).

• Breadth of experience in multiple technologies, tools, frameworks and processes is a big plus.

• Excellent understanding of core computer science concepts like algorithms, data structure,

Software design patterns, OOP etc. Be able to lead the team in design & architecture discussions,

introduce new tools, concepts & process to the team and guide other members of the team.

• Experience working in an agile team with software engineering practices like automated testing,

test- driven-development, continuous integration etc is a big plus.

• Excellent oral and written communication.