Senior Software Engineer (Python) tier 1 college only

We're looking for a Senior Python Developer with experience to join our team. You will lead and contribute to Python-based software projects as a Senior Python Developer, ensuring code quality and efficiency.

Senior Python Developer Job Responsibilities

• Design and Development: Senior Python Developers are in charge of creating Python-based applications and systems. Their code is the foundation of all software projects, ensuring functionality and performance.
• Leadership & Mentorship: Senior Developers frequently take on leadership positions, guiding and mentoring junior developers. They give technical skills and ensure the team adheres to best practices.
• Collaboration: Working collaboratively with cross-functional groups is an important element of this role. They aid in the definition of project demands and specifications, ensuring that software meets business objectives.
• Code Quality Assurance: A Senior Python Developer's role includes code reviews. They ensure code quality, suggest areas for development, and ensure best practices are followed.
• Troubleshooting and Debugging: Senior Python Developers are in charge of finding and resolving code bugs. Their strong problem-solving abilities are put to use as they troubleshoot and debug software to ensure its flawless operation.
• Staying Informed: It is critical to stay current with the newest trends and standards in Python development. Senior Developers ought to be knowledgeable about new technologies and tools.
• Performance Optimisation: They are in charge of optimization and testing to ensure that software is functional and operates smoothly.
• Documentation: Proper code and technical specifications documentation is required to ensure that the development process is open and readily available to the team.

Senior Python Developer Requirements and Skills

• Educational Background: A bachelor's or master's degree in computer science or a related field is a good starting point for this position.
• Experience: 6+yr Proven experience as a Python Developer is required. A strong project portfolio reveals expertise and capability.
• Python Proficiency: A strong understanding of Python and its associated libraries is required. It is critical to have a thorough understanding of Python's capabilities and limitations.
• Web Frameworks: Knowledge of web frameworks such as Django or Flask is advantageous because it speeds up web application development.
• Database Knowledge: Understanding of relational and non-relational databases is frequently required. Understanding how to work with databases is essential for developing reliable software.
• Front-End Skills: Being familiar with front-end technologies such as HTML, CSS, and JavaScript can be a valuable addition to the skill set of a Senior Python Developer, particularly when working on web applications.
• Version Control: Working knowledge of source control systems such as Git is frequently required, as it aids in code integrity and collaboration.
• Problem-Solving Skills: Strong skills in problem-solving and attention to detail are required. Senior Python developers must be able to effectively identify and resolve issues.
• Communication and Collaboration: Effective communication and collaboration with team members and stakeholders are critical to the success of projects.
• Leadership Experience: Prior leadership or mentorship experience is a significant asset. The ability to mentor and lead junior developers is frequently required.

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.

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

About us:

Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).

Our mission is to serve the underserved MSME businesses in India with their credit needs. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap by employing a phygital model (physical branches + digital decision-making).

As a technology and data-first company, tech and data enthusiasts play a crucial role in building the infrastructure at Optimo, and help the company thrive.

What we offer:

Join our dynamic startup team as a Backend Developer and play a crucial role in building robust web APIs, credit risk and underwriting decision engines, third-party tech integrations, data pipelines, and cloud infrastructure.

This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment. We believe that the freedom and accountability to make decisions in system architecture and technical design bring out the best in you — and help us build the best for the company.

What We Look For:

We're looking for individuals with strong proficiency in Python, Django, and RESTful API development. Experience with Flask, FastAPI, or AWS is a strong plus. Beyond skills, we value your attitude - your hunger to learn, take ownership, and thrive both independently and as part of a team.

We encourage picking up new technologies fast, understanding them deeply, and shipping them into production with confidence.

Skills:

>Core Backend

• Python: Strong proficiency in writing clean, production-level Python code.
• Django & Django REST Framework: Working knowledge in building and maintaining server-side applications.
• Flask / FastAPI: Experience building lightweight RESTful APIs is highly valued
• REST APIs: Strong understanding of API design principles; prior experience building or integrating REST APIs from scratch is essential.

>Databases

• Solid understanding of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB)
• Basic knowledge of query design, database management, and performance optimization.

>Cloud & DevOps

• Basic understanding of AWS (EC2, S3, Lambda, or similar services) is beneficial.
• Familiarity with CI/CD pipelines, server deployments, and cloud infrastructure management is a plus.

>Data

• Understanding of data pipelines and ETL processes is a plus.
• Exposure to dashboarding or data layer tools is appreciated but not required.

>Version Control

• Proficiency in Git — branching, merging, pull requests, and conflict resolution.
• Experience contributing to collaborative codebases is highly valued.

What You'll Work On:

• Design and build backend systems for end-to-end lending workflows — from customer onboarding to loan disbursement — with a focus on credit and risk assessment.
• Develop and maintain REST APIs and rule engines that power straight-through processing for property loans.
• Integrate third-party APIs and services into our core platform.
• Support cloud infrastructure management, including source code repositories, CI/CD pipelines, and deployments.
• Take projects from ideation to production with ownership and accountability.

Other Requirements:

• 2–5 years of industry experience in a backend or software engineering role is required.
• Full-time availability in Bangalore; immediate joiners preferred.
• Strong passion for technology and backend problem-solving.
• Self-motivated, with the ability to work independently and collaboratively in a fast-moving environment.

If you are ready to embark on an exciting journey of growth, learning, and innovation, apply now to join our pioneering team in Bangalore.

Strong Full stack/Backend engineer profile

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

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

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

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

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

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

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

Mandatory (Company) : Product companies (B2B SaaS preferred)

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

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.

Mandate Skills:

• 3 - 7 years of experience in cloud-native applications (Azure strongly preferred) using Python.
• Thorough understanding of Object-Oriented Programming (OOP) design and practices.
• Strong RDBMS experience (PostgreSQL, MS SQL etc.) designing tables & writing queries.
• Great command of design patterns (especially integration design patterns)

• Elocity is a cleantech start-up striving to make the world a better place through technology innovations. We are building a global infrastructure for making the transition to electric vehicles viable, affordable, and sustainable by working closely with the utilities, governments, and public.  
•  
• Headquartered out of Canada, we are a team of highly specialized domain experts and problem solvers enabling utilities, public and private sector entities to successfully manage the demands of electric vehicle charging and its infrastructure needs to pave the way for electromobility in future.  
• To know more visit https://elocitytech.com/" target="_blank">https://elocitytech.com/ 

• Responsibilities:  
• Determines technical feasibility of features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.  
• Exercises judgement in prioritizing tasks and selecting methods and techniques for obtaining solutions.  
• Create low-level design of modules of a software application through proper documentation and diagrams.  
• Develops software solutions by studying requirements, clarifying customer/user needs, analysing data and processes and following established software development practices and processes.  
• Develops proof of concepts for technical evaluation and early customer feedback  
• Updates and shares knowledge by studying state-of-the-art development tools, programming techniques, and computing technology; reading professional publications  
• Networks with internal and external personnel in own area of expertise.  

• Good command in JavaScript/TypeScript. Knowledge of Java/Python will be a plus.  
• Experience in Debugging/troubleshooting TypeScript code.  
• Experience in API development (REST/GraphQL etc)  
• Experience in development of Web and Mobile(android/iOS) applications  
• Exposure of Parallel and Asynchronous programming  
• Experience in writing Unit tests (Jest or any similar framework)  
• Should be proficient in relational Database concepts (Postgres etc.)  
• Knowledge of Non-relational Databases would be a plus.  
• Good Understanding of Object-Oriented Programming Concepts.  
• Good Understanding of Design Patterns.  
• Good command of Data structures, Algorithms and Complexity.  
• Good at problem solving and analytical skills.  
• Experience with Source Code Versioning systems (Git etc)  
• Understanding of Micro services Architecture would be a plus has context menu