Python Developer

About Us

Euphoric Thought Technologies is a fast-growing technology company focused on delivering scalable, high-performance digital solutions. We are looking for a skilled Backend Developer to join our dynamic team and contribute to building robust and efficient systems.

Key Responsibilities

 Design, develop, and maintain scalable backend services and APIs

 Write clean, maintainable, and efficient code

 Collaborate with frontend developers, DevOps, and product teams

 Optimize applications for maximum speed and scalability

 Troubleshoot, debug, and upgrade existing systems

 Implement security and data protection best practices

 Participate in code reviews and technical discussions

Required Skills & Qualifications

 4–5 years of hands-on experience in backend development

 Strong proficiency in at least one backend language such as Java and Core Java

 Experience with frameworks like Spring Boot, Django, Express.js, etc.

 Good understanding of RESTful APIs and Microservices architecture

 Strong experience with databases (MySQL, PostgreSQL, MongoDB)

 Familiarity with version control systems (Git)

 Experience with cloud platforms (AWS/Azure/GCP) is a plus

 Knowledge of Docker, Kubernetes, CI/CD pipelines is an added advantage

 Strong problem-solving and analytical skills

Required Experience: 10–15 years (with at least 3–5 years in leadership roles)

● 10–15 years of overall experience in backend engineering, with strong exposure to

Python and/or Golang.

● 3–5 years of experience managing engineering teams.

● Proven experience delivering large-scale, distributed systems in production

environments.

● Strong understanding of microservices, cloud-native architecture, and DevOps

practices.

● Hands-on background in backend engineering (able to guide teams technically, even

if not coding daily).

● Familiarity with CI/CD pipelines, observability, and performance optimization.

● Experience in financial services or high-transaction domains is a plus.

● Experience leading teams that have utilized AI-driven development practices (e.g.,

agentic coding, LLM integration) to improve productivity and innovation is a

significant advantage.

Skills

● Excellent leadership and people management abilities.

● Strong communication and stakeholder management skills.

● Ability to balance technical depth with business priorities.

● Problem-solving mindset with a focus on delivery and impact.

● Passion for building engineering culture and improving developer experience.

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.

Backend Engineering Intern (Infrastructure Software) – Remote

Position Type: Internship (Full-Time or Part-Time)

Location: Remote

Duration: 12 weeks

Compensation: Unpaid (***3000 INR is just a placeholder***)

About the Role

We are seeking a motivated Backend Developer Intern to join our engineering team and contribute to building scalable, efficient, and secure backend services. This internship offers hands-on experience in API development, database management, and backend architecture, with guidance from experienced developers. You will work closely with cross-functional teams to deliver features that power our applications and improve user experience.

Responsibilities

• Assist in designing, developing, and maintaining backend services, APIs, and integrations.
• Collaborate with frontend engineers to support application functionality and data flow.
• Write clean, efficient, and well-documented code.
• Support database design, optimization, and query performance improvements.
• Participate in code reviews, debugging, and troubleshooting production issues.
• Assist with unit testing, integration testing, and ensuring system reliability.
• Work with cloud-based environments (e.g., AWS, Azure, GCP) to deploy and manage backend systems.

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field.
• Familiarity with one or more backend languages/frameworks (e.g., Node.js, Python/Django, Java/Spring Boot, Ruby on Rails).
• Understanding of RESTful APIs and/or GraphQL.
• Basic knowledge of relational and/or NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with version control (Git/GitHub).
• Strong problem-solving skills and attention to detail.
• Ability to work independently in a remote, collaborative environment.

Preferred Skills (Nice to Have)

• Experience with cloud services (AWS Lambda, S3, EC2, etc.).
• Familiarity with containerization (Docker) and CI/CD pipelines.
• Basic understanding of authentication and authorization (OAuth, JWT).
• Interest in backend performance optimization and scalability.

What You’ll Gain

• Hands-on experience building backend systems for real-world applications.
• Exposure to industry-standard tools, workflows, and coding practices.
• Mentorship from experienced backend engineers.
• Opportunity to contribute to live projects impacting end users.

About The Team

We are striving to create the best productivity tools which will help small businesses to go online and scale their growth consistently with the bleeding edge of technology. Our backend team is looking for a solid Rockstar engineer who can hack around multiple technologies and build highly scalable, low latency, distributed systems. You will work closely with our product team to build new and compelling experiences for our customers!

We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. As Software Engineer - Backend, you will be part of self-starters who thrive on teamwork and constructive feedback.

About The Role

As a Software Engineer - Backend, you will solve real-life complex problems and create compelling experiences for our users. In this role, you will ensure that the solutions and processes that we create are of the highest quality. And in doing so, you will champion a seamless app experience for all our users. You will also collaborate with your fellow engineers to create scalable solutions that are pertinent to Product IO's overall growth.

If you are confident about solving hard, interesting and UNIQUE problems, and creating an impact within an entrepreneurial environment, then you might just be our next Software Engineer - Backend

What You'll Do:

• Lead, build, test, and release mobile application features using cross-platform tools.
• Collaborate with the front-end team to expose weaknesses and problems
• Build out our APIs and tools using Python & Firebase libraries on the backend.
• Experience with NodeJS and deployment in Serverless
• Experience with NoSql(MongoDB) and SQL(PostregSQL)
• Work closely with Product, Design, Platform, and other cross-functional groups to drive product vision.
• Previous experience helping shape API structures and building REST APIs.
• Understanding of accessibility and server compliance (GCP)

Required Qualifications:

• 2+ years professional software development experience, preferably mobile apps with a cloud backend. Example projects in (Python, Firebase)
• 6 months experience in Google Cloud Platform
• Excellent communication skills are a must, and experience with estimating and managing project tasks is important, too
• Highly driven, naturally curious, and comfortable working in a fast-paced environment

Bonus points:

• 1+ years of experience in developing Firebase apps.
• Experience in developing or designing APIs and web applications.
• Deployment in Cloud Environment.
• Familiarity with Flutter.

Why join us:

• 👫 A fast-moving, fun, growth-oriented company made up of skillful team players
• 💬 Transparent, open, and collaborative work environment
• 🌟 An opportunity to work closely with a proven executive team, board, and serial entrepreneurs

Job Description for Senior Python Developer 

Experience: 4 to 7 years

• Must have strong knowledge in Python 2/Python 3
• Must have a strong knowledge of Web development using the Django web framework and API development experience using Django REST API.
• Flask framework or any other framework’s knowledge is great.
• Ability to write reusable, testable, and efficient code
• Team Handling exposure
• Knowledge of Standard databases like MySql, PostgreSQL and NoSQL databases like MongoDB, Firebase, etc. Able to create database schemas that represent and support business processes.
• Understanding of fundamental design principles behind a scalable application
• Must be good at understanding client requirements.
• Good testing/debugging skills using standard python modules/IDEs
• Deployment experience with standard servers like Apache/AWS etc.
• Experience in testing frameworks known in the industry.
• Having good/basic knowledge of Front end Technologies HTML, CSS, Bootstrap, JavaScript is good.
• Proficient understanding of code versioning tools - GIT

The candidate must have experience in coding part and team handling experience both

About RecoSense

We are a growing SaaS based data analytics startup at revenue stage with multiple customers. We are looking for Python programmer who can be part of core product team in taking the product forward.

Flexible work timings, Stock options, Architect role to lead the product. Visit http://recosenselabs.com">http://recosenselabs.com.

Requirement: We are looking for a good programmer with following skills:

Sr. python developer

Experience:  2- 5 years

Requirements:

1. Mandatory good experience in Python and Mongodb
2. Expertise in cloud management
3. Proficient in shell scripting
4. Expert in modular code writing skills
5. Explorative(geek on what's going around technology)
6. Worked on Spark, AWS, is plus
7. Hands on Postgres
8. Experienced on developing a product from scratch to production
9. Experience on developing modular backend architecture

Location of Work

We are located in Banashankari 2nd stage, Bangalore. Looking for a full time candidate.

Work hours and location of Work is flexible.

Benefit for Candidate

1. Part of the Core Team in the Company
2. Growth along with the Company
3. Startup culture - Ability to work on best technologies, fast paced and dynamic
4. Freedom to work independently.
5. Equity incentives for long term interest