Senior Python Developer/Data Engineer

Role Overview

We are seeking a technically strong Java Support Engineer who combines solid development knowledge with a passion for support and operational excellence. The ideal candidate should have hands-on experience in Java, Spring Boot, and Angular, along with a strong understanding of application engineering concepts, and must be comfortable working in a production support environment handling incidents, troubleshooting, monitoring, and system stability.

Work Location: Hyderabad or Chennai

Key Responsibilities

· Provide L2/L3 production support for enterprise applications.

· Troubleshoot, debug, and resolve application issues within defined SLAs.

· Analyze logs, identify root causes, and implement fixes or workarounds.

· Collaborate with development teams for permanent issue resolution.

· Monitor application health, performance, and availability.

· Support deployments, releases, and environment validations.

· Perform minor code fixes and enhancements when required.

· Document issues, solutions, and support procedures.

· Participate in on-call rotations and handle incident management.

Required Skills & Qualifications

· Strong hands-on experience in Java and Spring Boot.

· Working knowledge of Angular for frontend understanding.

· Good understanding of application architecture, APIs, microservices, and debugging techniques.

· Experience with log analysis tools, monitoring tools, and ticketing systems.

· Knowledge of SQL databases and query troubleshooting.

· Familiarity with Linux/Unix environments.

· Understanding of CI/CD, release processes, and version control (Git).

· Strong analytical, problem-solving, and communication skills

Job Title: Java Developer (Full-time)

Location: Pune (Onsite)

Experience Required: 3+ Years

Working Days: 5 Days (Mon to Fri)

Key Responsibilities:

• Design, develop, and deploy scalable microservices using Java and Spring Boot.
•  Implement RESTful APIs and integrate with external systems and databases.
• Build and manage services on AWS Cloud using components like ECS, Lambda, S3, RDS,
• and API Gateway.
• Collaborate with DevOps to integrate CI/CD pipelines for automated builds, tests, and
• deployments.
• Ensure application performance, reliability, and security in a cloud-native environment.
• Participate in code reviews, troubleshooting, and performance optimization.
• Work closely with architecture, QA, and product teams to deliver high-quality solutions.

Required Skills & Experience:

• Strong proficiency in Java, Spring Boot, and microservice architecture. 
• Hands-on experience with AWS Cloud services (ECS, EKS, Lambda, RDS, CloudWatch,etc.).
•  Knowledge of Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab, or AWS
• CodePipeline).
• Experience with REST APIs, JSON, and message brokers (Kafka, RabbitMQ, or SNS/SQS).
• Proficiency in SQL and experience with relational databases (Oracle, MySQL, or
• PostgreSQL).
•  Familiarity with security best practices, monitoring, and logging in the cloud.

Job Title: L3 SDE (Python- Django)

Location: Arjan Garh, MG Road, Gurgaon

Job Type: Full-time, On site

Company: Timble technologies Pvt Ltd. (www.timbleglance.com)

Pay Range: 30K- 70K

**IMMEDIATE JOINERS REQUIRED**

About Us:

Our Aim is to develop ‘More Data, More Opportunities’. We take pride in building a cutting-edge AI solutions to help financial institutions mitigate risk and generate comprehensive data. Elevate Your Business's Credibility with Timble Glance's Verification and Authentication Solutions.

Responsibilities

• Writing and testing code, debugging programs, and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team. Ultimately, you’ll build highly responsive web applications that align with our client’s business needs

• Write effective, scalable code

• Develop back-end components to improve responsiveness and overall performance

• Integrate user-facing elements into applications

• Improve functionality of existing systems

• Implement security and data protection solutions

• Assess and prioritize feature requests

• Coordinate with internal teams to understand user requirements and provide technical solutions

• Creates customized applications for smaller tasks to enhance website capability based on business needs

• Builds table frames and forms and writes script within the browser to enhance site functionality

• Ensures web pages are functional across different browser types; conducts tests to verify user functionality

• Verifies compliance with accessibility standards

• Assists in resolving moderately complex production support problems

Profile Requirements

* 2 years or more experience as a Python Developer

* Expertise in at least one popular Python framework required Django

* Knowledge of object-relational mapping (ORM)

* Familiarity with front-end technologies like JavaScript, HTML5, and CSS3

* Familiarity with event-driven programming in Python

* Good understanding of the operating system and networking concepts.

* Good analytical and troubleshooting skills

* Graduation/Post Graduation in Computer Science / IT / Software Engineering

* Decent verbal and written communication skills to communicate with customers, support personnel, and management

**IMMEDIATE JOINERS 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.

Job Title: Senior Python Developer with AWS

Company: P99soft

Experience: 6+ years

Location: Hyderabad

Job Description:

P99soft, a leading technology company, is seeking a talented Senior Python Developer with expertise in AWS to join our dynamic team in Hyderabad. As a Senior Python Developer, you will play a key role in designing, implementing, and maintaining robust and scalable software solutions. If you have a passion for Python development and extensive experience with AWS technologies, we encourage you to apply and be a part of our innovative and collaborative work environment.

Responsibilities:

• Design, develop, test, and deploy high-performance and scalable Python applications.
• Collaborate with cross-functional teams to define and implement innovative solutions for the company's software needs.
• Work closely with stakeholders to understand business requirements and translate them into technical specifications.
• Utilize your expertise in AWS services to architect and implement cloud-based solutions.
• Troubleshoot and debug issues, ensuring the overall quality and performance of the software.
• Stay updated on industry trends and best practices to continuously improve software development processes.
• 
  

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Senior Python Developer with a minimum of 6 years of hands-on development experience.
• Strong proficiency in Python and experience with popular frameworks such as Django or Flask.
• In-depth knowledge of AWS services and experience with cloud-based architecture.
• Solid understanding of software development principles, design patterns, and best practices.
• Experience with database systems, both SQL and NoSQL.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.

How to Apply:

If you have a passion for backend development, possess the required experience, and are excited about contributing to innovative projects, we invite you to apply. Please submit your resume, cover letter, and any relevant portfolio or project samples to Anusha Kalidindi/Sravani Chiruvolu

P99soft is an equal opportunity employer, dedicated to fostering diversity and creating an inclusive workplace for all employees.

• Challenge technical decisions and web service designs and provide inputs for improvement
• Provide qualified code (tested and documented)
• Fix issues that arise from testing/customers
• Create or update all the relevant and required technical documents (design, architecture, )
• Follow quality development rules and recommendations (unitary test, change management, build management, Software factory…)
• Perform code reviews and suggest improvements
• Work in Agile mode and Test Driven development process
• Collaborate and work closely with all stakeholders

• Hardcore developers who can write performance-based quality code and drive code
• Preferred: Java1.8, Junit, Springboot, Dropwizard, RabbitMQ, Jenkins jobs, NoSQL DB (MongoDB, Neo4j), Docker, and DevOps (Optional: Python, AWS)
• Knowledge about Secure coding guidelines, Sonarqube, Configuration Management (Perforce), Jira
• MUST have experience in Scrum/Agile SDLC
• Value Add – experience on the server side in IPTV/OTT/STB

Experience:
Min 3 year experience

Responsibilities

1. Writing clean, high-quality, high-performance, maintainable code
2. Develop and support software including applications, database integration, interfaces, and new functionality enhancements
3. Coordinate cross-functionally to insure project meets business objectives and compliance standards
4. Support test and deployment of new products and features
5. Participate in code reviews

Skills & Qualifications

• 4-12 years of experience in Java Development.

• Excellent verbal and written English communication is a must. You may have to interact with clients directly.

• Technology agnostic approach is a must. Ready to adopt new technology and a faster learning curve.

• Writing scalable, maintainable and reusable code.

• Keen interest in SAAS based products and mobile applications.

• Experience working with Distributed Systems

• Java, Spring Boot, Microservices, API Design Experience with Event-Driven Architecture, Multithreading

• Kafka iOS Experience with Event Sourcing Reactive and Functional

• Programming Strong understanding of best practices for creating/working with Microservices

• Experience implementing Message Brokers and Messaging subsystems(experience working with Kafka a strong plus)

• Be open-minded, creative, and self-critical; be collaborative and communicative

• Have experience with and curiosity about agile and lean philosophies

• Experience working with small teams to ship products to market

• Have experience developing full-service consumer, employee and business applications

• Language agnostic and experienced polyglot Passion for Working Software and SOLID principles

• Experience with designing and refactoring complex systems

• Experience with Test-Driven Development (TDD) Interest in working in a pair-programming environment Deep understanding of design patterns and applying them in production environments

• Passion for enabling team members

• Java 8 or Java 11. Both are LTS. The project will be on Java11

• Spring Boot

• Git

• SQL

• AWS and AWS Aurora

• Microservices

• Multithreading

Perks

• Flexible time schedule.
• Work from home or work from anywhere.
• Health insurance.
• Team building activities.
• Training and conference tickets.

• NoSQL DB (MongoDB, CouchDB), PostgreSQL
• Mocha test environment
• Should JS testing framework
• Experience implementing mock services
• Nock API mocking
• NPM, Redis
• Typescript / Coffee script experience will be an added advantage
• Experience working with opensource JS projects
• Experience in developing REST API
• Source code management tool - Git / GitHub
• Understanding of TCP/IP networking and client/server web programming model
• Good communication skills
• Should be able to work with the cross-geo client team