Java Back End

Job Summary

We are looking for a skilled Python Developer with 3 years of experience to join our team in Bangalore. The ideal candidate should have strong expertise in Python, Django, and PostgreSQL, along with a good understanding of backend development. Knowledge of Java will be an added advantage.

Key Responsibilities

Develop, test, and maintain scalable backend applications using Python and Django

Design and manage databases using PostgreSQL

Write clean, efficient, and reusable code

Collaborate with cross-functional teams to define, design, and ship new features

Debug and resolve technical issues and optimize application performance

Participate in code reviews and ensure best coding practices

Required Skills

Strong experience in Python

Hands-on experience with Django framework

Good knowledge of PostgreSQL database

Understanding of REST APIs and web services

Familiarity with version control systems (e.g., Git)

Good to Have

Basic knowledge of Java

Experience with cloud platforms or deployment processes

Understanding of front-end technologies is a plus

Qualifications

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

Additional Requirements

Immediate joiners or candidates with short notice period preferred

Strong problem-solving and analytical skills

Good communication and teamwork abilities

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.

Software Developer (Backend) - .Net with Microservices & Cloud - Sharc Hire

Full-time

Hyderabad, Telangana, India

Quick Facts About the Role

Role: Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 3 - 6 years

Skills: Microservices Architecture, ASP.NET Core, Web API development, Azure Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure Functions, Azure Blob storage, Caching, NoSQL Databases

About the role: The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software that solves real problems. Strives for security, performance, simplicity, usability, and maintainability. Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution
2. Works within established agile methods, promoting an atmosphere of continuous improvement.
3. Continuously learns new technologies and patterns and practices.
4. Documents knowledge for the benefit of the team.
5. Reports to the team on obstacles and roadblocks.
6. Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team meetings.
7. Promote patterns and best practices on the team.
8. Mentors and guides the less experienced software engineers.

Planning and Design

Works with the product team and stakeholders to refine and document requirements.

Estimates effort for planning purposes.

Designs and documents enterprise-level software architecture, consulting with Enterprise Architecture when appropriate.

1. Development
2. Writes code to develop software that meets requirements and specifications.
3. Follows established software development life cycle (SLDC).
4. Writes code with readability and future maintenance in mind.
5. Follows established source control standards and best practices.
6. Adheres to established secure coding practices.
7. Reviews code for other developers.
8. Leads team-based development efforts.
9. Quality Assurance
10. Validates QA findings and fixes defects.
11. Develops integration and testing points in the software that allow for QA testing.
12. Assists QA in running performance and load tests.
13. Release
14. Assists with release planning and releases.
15. Support
16. Assists the support team as needed, including root cause analysis.
17. Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

• Solid Understanding of The Following:
• Microservices Architecture:
• Microservices design principles (bounded contexts, loose coupling)
• API-first design and contract management
• Event-driven design principles
• Asynchronous messaging patterns
• Eventual consistency concepts
• Idempotency and message replay handling
• ASP.NET Core Web API development
• Web Apps
• Azure Kubernetes Service (AKS)
• Azure Blob Storage usage and lifecycle management
• API Gateway / Azure API Management concepts
• Entra (Authentication)
• Azure Service Bus
• Azure Functions
• Caching
• NoSQL Databases

Processes & Standards: Git, GitFlow, OO Programming, Kanban, Secure Coding, & Agile Methodologies

Bonus Skills:

• Excellent written and verbal communication
• Excellent documentation
• Continuous learning
• Collaboration across team and functional boundaries
• Troubleshooting and creative problem solving
• Design simple architecture that supports complex applications and APIs
• Architect extensible databases
• Author complex component-based client applications and restful APIs
• Perform advanced CRUD operations against multiple data sources
• Manipulate enterprise level data structures
• Mentor less experienced team members
• Take ownership of team processes and legacy applications
• Perform business analysis tasks, such as requirements gathering and wireframing

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

Backend - Software Development Engineer III

Experience - 7+ yrs

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for passionate software engineers eager to be a part of our growth journey. The right candidate needs to be interested in working in high-paced and challenging environments leading technical teams, designing system architecture and reviewing peer code. Interested in constantly upskilling, learning new technologies and expanding their domain knowledge to new industries. This candidate needs to be a team player and should be looking to help build a culture of excellence. Do you have what it takes?

You will be working on complex data migrations, modernizing legacy applications and building new applications on the cloud for large enterprise and/or growth stage startups. You will have the opportunity to contribute directly into mission critical projects directly interacting with business stakeholders, customers technical teams and MongoDB solutions Architects.

Location - Chennai or Bangalore

• Relevant experience of 7+ years building high-performance back-end applications with at least 3 or more projects delivered using the required technologies
• Good problem solving skills
• Strong mentoring capabilities
• Good understanding of software development life cycle
• Strong experience in system design and architecture
• Strong focus on quality of work delivered
• Excellent verbal and written communication skills

Required Technical Skills

• Extensive hands-on experience building high-performance web back-ends using Node.Js and Javascript/Typescript
• Min two years of hands-on experience in NestJs
• Strong experience with Express.Js framework
• Implementation experience in monolithic and microservices architecture
• Hands-on experience with data modeling on MongoDB and any other Relational or NoSQL databases
• Experience integrating with any 3rd party services such as cloud SDKs (Preferable X), payments, push notifications, authentication etc…
• Hands-on experience with Redis, Kafka, or X
• Exposure into unit testing with frameworks such as Mocha, Chai, Jest or others
• Strong experience writing and maintaining clear documentation

Good to have skills:

• Experience working with common services in any of the major cloud providers - AWS or GCP or Azure
• Technical certifications in AWS / Azure / GCP / MongoDB or other relevant technologies

• Position: Appian Tech Lead
•  
• Job Description:      
•  
• Extensive experience in Appian BPM application development
• Knowledge of Appian architecture and its objects best practices
• Participate in analysis, design, and new development of Appian based applications
• Mandatory Team leadership and provide technical leadership to Scrum teams Certification Mandatory- L1, L2 or L3
• Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced by team
• Build applications: interfaces, process flows, expressions, data types, sites, integrations,
• Proficient with SQL queries and with accessing data present in DB tables and views
• Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart services, integration services and web services
• Experience working with different Appian Object types, query rules, constant rules and expression rules

 Qualifications:

• At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
• Over 8 years in Implementing IT solutions using BPM or integration technologies
• Experience in Scrum/Agile methodologies with Enterprise level application development projects
• Good understanding of database concepts and strong working knowledge any one of the major databases e g Oracle SQL Server MySQL

Additional Information Skills Required

• Appian BPM application development on version 19.x or higher
• Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
• Good leadership skills and the ability to lead a team of software engineers technically
• Experience working in Agile Scrum teams
• Good Communication skills

Java back end developer

Chennai  

3+yrs

3 to 5 years Java,

Sprint Boot, Hibernate,

REST API Design Patterns SQL,

Oracle,

Table design

About Klevu:

Klevu is a discovery experience suite that revolutionises online shopping. It provides a range of SaaS based solutions, that are deep rooted in AI-ML technology and delivered via cloud for online retailers. Klevu is a global Finnish company that prides in diversity, great team, excellent partner network and global customer footprint. Learn more from www.klevu.com

Experience: 5+ years

Location: Ahmedabad, Gujarat

Responsibilities:

• Build, scale and maintain various services on the Klevu platform
• Design and develop solutions for business needs on the Klevu platform

Must have skills:

• 4+ years on experience with Java
• Experience in Web application development on Spring framework
• Experience working with database technologies – RDBMS or NoSQL
• Ability to communicate effectively within and outside the engineering team
• Familiar with agile software development process

Nice to haves:

• Experience in Hibernate, MySql, Redis, ActiveMQ or Kafka
• Experience in UI Frameworks like Jquery, React, Angular or equivalent
• Experience in REST API development
• Experience in debugging issues and checking production logs
• Experience working in eCommerce and/or SAAS startups
• Experience working with microservices architecture

What we offer:

• Being part of one of the most exciting search technology company from Nordics with global footprints
• Work with a team in 3 continents (North America, Europe, Asia)
• Excellent work culture, hands-on, result oriented
• Good salary and flexible hours

Job Description:
We are looking for a Software Engineer with solid development experience in Java and related frameworks. We are looking for a self-motivated, go-getter, out-of-the-box thinker who is ready to work in a high-energy start-up environment. He/she must demonstrate a high level of ownership, integrity, and creativity.
Required Skills:
• Core Java (Proficient)
• Spring, Spring MVC OR Spring boot
• Hibernate – Good to have
• Oracle/MySQL DB - Hands-on (Intermediate)
• REST API and AWS– Good to have
• Hands-on experience of working on Spring boot based Microservices (Intermediate)
• Good to have knowledge of Microservice DevOps tools (Git, Jenkins, JUnits, deployment, monitoring, tracing)
• Sound understanding of core Java, SOAP Services, REST Services, Spring & maven, having expertized to work on Unix platform
• Should have working knowledge on web servers (e.g. Apache HTTP) and application servers (e.g. Tomcat, WebLogic)
• Should have a working knowledge of any relational database. Preferred will be Oracle and MySQL.
Roles and Responsibilities:
• You will design, develop, modify, debug and/or maintain software code according to functional, non-functional and technical design specifications.
• You will follow software engineering standards, applicable software development
methodology and release processes, to ensure code is maintainable, scalable,
supportable and demo the software products to stakeholders
• You will investigate issues by reviewing/debugging code, providing fixes and workarounds, and reviewing changes for operability to maintain existing software solutions.
• You will work within a team, collaborate and add value through participation in peer code reviews, provide comments and suggestions, work with cross-functional teams to achieve goals.

Why should you join Opcito?
We are a dynamic company that believes in designing transformation solutions for our customers with our ability to unify quality, reliability, and cost-effectiveness at any scale. Our core work culture focuses on adding material value to client products by leveraging best practices in DevOps like continuous integration, continuous delivery, and automation, coupled with disruptive technologies like cloud, containers, serverless computing, and microservice-based architectures.
Here are some of the perks of working with Opcito:
• Outstanding career development and learning opportunities
• Competitive compensation depending on experience and skill
• Friendly team and enjoyable work environment
• Flexible working schedule
• Corporate and social events.

Java Elastic Search

• Java Microservices ELK stack(Elasticsearch, Logstash, Kibana, Beats, X-Pack, APM),
• Build Custom Reports

Java + NodeJS

• Java with Node.js- Microservices Development,
• Using graphql with node.js,
• Backend development with Node.JS

Java Microservices

• Working experience in Java and spring boot (microservices)
• Strong understanding of OOPs concepts
• Proficient in API design and development using RESTful services
• Knowledge and understanding of design principles behind building a scalable application
• Source code management using git