Software Development Engineer Testing (SDET)

 Experience in Core Java, Spring Boot. 

• Experience in microservices. 

• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns. 

• Should be able to analyze, design, develop and test complex, low-latency client-facing applications. 

• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2 

• Good knowledge of multi-threading 

• Basic working knowledge of Unix/Linux 

• Excellent problem solving and coding skills in Java 

• Strong interpersonal, communication and analytical skills. 

• Should be able to express their design ideas and thoughts

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 Description

Key Responsibilities:

• Design, develop, test, and deploy high-quality backend solutions using Java and Spring Boot.
• Build and maintain scalable microservices that interact with various data sources and front-end applications.
• Develop RESTful APIs for internal and external consumption.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Collaborate with cross-functional teams including front-end developers, QA, and DevOps.
• Troubleshoot and resolve technical issues across environments.
• Participate in code reviews, unit testing, and integration testing.
• Ensure application performance, uptime, and scale by identifying and resolving bottlenecks.

Required Skills & Qualifications:

• Strong proficiency in Java (8 or higher).
• Hands-on experience with Spring Boot framework.
• Experience in developing RESTful APIs and understanding of HTTP protocols.
• Solid understanding of Microservices architecture and related patterns (e.g., service discovery, circuit breaker).
• Familiarity with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Understanding of containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus.
• Knowledge of CI/CD pipelines and version control tools like Git.
• Excellent problem-solving skills and attention to detail.
• Good communication and teamwork skills.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with message brokers like Kafka or RabbitMQ.
• Exposure to Agile/Scrum development methodologies.

Job Title: Java Developer

Location: Chennai

Experience: 3+ Years

Employment Type: Full-time

Job Description:

We are looking for a skilled and passionate Java Developer with a strong foundation in Core Java and Object-Oriented Programming concepts. The ideal candidate should possess excellent communication skills and have hands-on experience with multi-threading, collections, databases, and backend development frameworks like Spring and Spring Boot. Exposure to cloud platforms and frontend technologies is a plus.

Key Responsibilities:

• Design, develop, and maintain scalable Java applications using Core Java and Spring Boot.
• Apply strong knowledge of Java Collections Framework and concurrent programming techniques including ExecutorService, ForkJoinPool, and other threading mechanisms.
• Optimize JVM performance and memory usage.
• Participate in all phases of the software development lifecycle: requirement gathering, design, development, testing, and deployment.
• Write clean, maintainable code following best practices, coding standards, and design patterns.
• Conduct code reviews, unit testing, and participate in peer programming.
• Collaborate effectively with team members and stakeholders to deliver high-quality solutions.
• Interact with databases like Oracle, Sybase, or SQL Server, with a strong understanding of views, triggers, indexing, and stored procedures.

Must-Have Skills:

• 3+ years of hands-on experience in Core Java
• Strong understanding of Collections, Multithreading, and Concurrency
• Proficient in Spring Framework, especially Spring Boot
• Deep understanding of Object-Oriented Design and Data Structures
• Strong experience in RDBMS (Sybase/Oracle/SQL Server) including indexing, replication, CLOB/BLOB types, views, and procedures
• Excellent written and verbal communication skills

Good to Have:

• Exposure to Microservices architecture
• Familiarity with NoSQL databases
• Knowledge or willingness to work on frontend technologies
• Experience working with public cloud platforms (AWS, Azure, GCP)

Soft Skills:

• Strong analytical and problem-solving skills
• Team player with a proactive attitude
• Ability to work independently and in a fast-paced environment

If you are passionate about Java development and want to work on cutting-edge technologies in a collaborative environment, we would love to hear from you.

Let me know if you want this converted into a company-branded format or with CTC/NP details added.

Job Description

Job Summary

• BS/BE/BCA/MSC/MCA degree in Computer Science, Engineering or a related subject
• Hands on experience is preferable in designing and developing applications using Java EE platforms
• Object oriented analysis and design using common design patterns.
• Profound insight of Java and J2EE internals
• Excellent knowledge of Relational Databases and SQL
• Experience in developing web applications using at least one popular web framework (JSF, HTML5, MVC)
• Knowledge on Micro services, Containers / Docker would be added advantage.
• Knowledge on data science would be preferred.
• Exposure to building API, rest service and webservices.
• Exposure to open source like Tensor flow, NIFI, Stream pipes etc.,
• Experience with test-driven development
• Good communication skills and client-oriented attitude
• Organized and detail-oriented person
• Problem solving skills, analytical mind and positive attitude
• Results oriented and focused on meeting deliverable timelines
• Availability to travel, if needed
• Fluency in English is a must

Responsibilities and Duties

• Design and develop features and modules for mission-critical applications
• Build modules on MES products like (SAP, Apriso, Rockwell etc.,)
• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies

Required Experience, Skills and Qualifications
2 - 5 years of hands-on Software Development experience using the below mentioned Technologies

• Java / J2EE
• EJB, JSF, Servlets
• HTML, HTML5
• SQL server / Oracle
• Json, webservice and etc.

Benefits

• Candidate would be Trained on SAP modules.
• Industry best pay.

Job Type: Full-time

Founded in 2012,leader in high-assurance digital identity verification technology.  Named to Forbes’ 2019 AI 50 list as one of America’s most promising AI companies, and a recent winner of API World’s Best Data API, technology applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, address, phone, IP, social media and the broader Internet to verify identities in real-time. Customers include three of the top five U.S. banks, seven of the top 10 U.S. card issuers, as well as the majority of leading digital banks, lenders and insurers across the U.S. We are funded by some of the world's best investors and entrepreneurs including Scale Venture Partners, Commerce Ventures, Work-Bench, Santander InnoVentures and Two Sigma Ventures.

The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in!

We are hiring Software Engineers across all levels in Chennai!

What You'll Be Doing:

• You will partner with our globally distributed cross-functional teams (Product, Infrastructure, Engineering, Data Science) to conceptualize and develop new features and products in an Agile environment. 
• You will own end-to-end delivery of software components all the way to production, owning team features or systems. 
• You will be building web services and REST APIs at scale, and producing high-quality results with direct business impact. 
• You will be monitoring and improving existing deployments, ensuring that we are continuously improving our product. 
• You will be assisting our QA and support team in triaging and resolving production issues and addressing bugs.

What You'll Bring:

• You are interested in our tech stack (Java or Scala, SQL Databases, NoSQL, Microservices, and AWS)
• You will have strong computer science fundamentals: data structures, algorithms, various programming languages, distributed systems, etc. 
• You understand engineering best practices and seek to improve engineering standards, tooling and processes. 
• You write “good code” - easily understandable, secure and testable! 
• You are comfortable helping drive technical decisions within our Engineering team. 
• You have experience building applications at scale.

Perks & Benefits:

• Competitive base salary
• Equity - every employee is a stakeholder in our enormous upside
• A tech-first company culture driven by entrepreneurial thinking and talent
• A great team working in unison towards the same mission
• Transparency is what our product is built on—and so is our culture
• Daily catered lunch and snacks
• Generous health insurance for employees and dependents
• Flexible work schedule and work-from-home options
• Flexible PTO

We are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

We are building for the future of work by changing the way the world looks at information and data paradigms. The Meaning Engine by India-based Needle Innovision enables building solutions by processing meaningful data out of anything stored anywhere - structured, unstructured data types, distributed, at scale and more. 

In our quest to do more, we are looking for a fantastic Java Tech Lead to join us in a hybrid setting from New Delhi. Below are some (seriously important) green flags that we are looking for from you: 

🟢 Ability to build and repeat the vision, not just work on tasks in the new phase of your career

🟢 The excitement to architect awesome products and resilient teams

🟢 Preparedness to move into enterprise-ready environments 

🟢 Build team motivation, delegate smartly and create a career path

This could be an awesome launching pad for someone who enjoys working towards big-picture goals, has a keen interest in leadership, and has a deep understanding of Java technologies.  Our teams are sustained on values of care and we offer a generous number of vacation days, the opportunity to craft your calendar with flexible schedules and very soon an insurance plan for you and your loved ones. We offer a starting salary range of 10-14LPA.

What you will do: 

• Collaborate with the client to understand problem statements and provide solutions for the same.
• Explain client requirements to the project team and plan and delegate work requirements
• Ensure the applications are released to production in the committed timeline
• Work with the QA team to ensure the code developed by the team passes the necessary quality check.
• Document application changes and development updates
• Set and evolve standards and best practices for our application development team 
• .Guide and mentor junior developers and engage in regular learning activities
• Oversee development process compliance and CI activities.

What you will bring: 

• 4 years minimum detail-oriented experience as a Senior Software Engineer.
• Experience in client interactions and/or are looking forward to doing that (preferred if, you have worked in B2B application development for large enterprises 🟢)
• Prior experience of at least one large project with a few people under your belt. (🟢)
• Expert-level knowledge of Java, Spring Boot, Oracle/Postgres.
• Expert-level knowledge on one or all of Hibernate/JPA/MyBatis.
• Experience in RESTful services and fundamentals of MVC architecture.
• Experience in working with and configuring web and application servers, such as Apache/Nginx/Tomcat.
• Proficient understanding of build tools, such as Maven/Gradle and code versioning tools, such as Git/SVN.
• Ability to review specifications documents and provide technical inputs on successfully implementing business solutions.

As a Java Tech Lead, you would be expected to understand business requirements, represent Needle to external stakeholders, and have experience in working in agile teams.

If leading a squad that implements digital transformation solutions at the intersection of data science and AI excites you, and if our awesome bite-sized team inspires you to be a part of our quest, we think you could be the one to help build the impact, we are looking to building here. 

Lets talk!

• Total of 3-5 years of experience building cutting-edge products.
• Must have a degree in Computer Science or a related field. Strong understanding of object-oriented programming, concurrency, and fundamentals of computer science.

• Technically Hands-on, prior experience with scalable Architecture.
• Bring 3-5 years of software engineering and product delivery experience, with a strong background in algorithms.
• Excellent command over Data Structures and Algorithm Proficiency in implementation of algorithms and use of advanced data structures to solve problems in computing
• Exceptional coding skills in an Object-Oriented programming language (Python preferred with Django framework).
• Strong problem-solving and analytical skills.
• Experience with web technologies Java/Python, Linux, Apache, MySQL, solr, memcache, redis.
• Experience in architecting & building real-time, large-scale e-commerce applications.
• Experience with high-performance websites catering to millions of daily traffic is a plus.

• Java/ Python, MySQL, Redis, ElasticSearch, Problem Solving, Scalability, Design Patterns, Distributed System

• Develop complex software products that include scale, algorithmic complexity, and a huge amount of data.
• Build cutting-edge scalable systems by writing simple and efficient code.
• Code, develop, design, and architect features related to the existing application. We expect you to own modules end to end and take pride in the work products you ship
• Contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing, and operations.
• Design, implement, and maintain highly scalable, multi-tier, distributed server software applications
• Deliver across the entire app life cycle, design, build, deploy, test, release to app stores, and support
• Working directly with developers and product managers to conceptualize, build, test, and release products
• Take responsibility for performance and stability for all server functions
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency