Engineering Manager MEAN Stack Location : Noida (On-site) Salary : Up to 40 LPA Experience : 12 to 14 years Industry-FinTech or BFSI domain Interview Process : 2 Technical Rounds + 1 Managerial Round (Virtual) Joining : Immediate Joiners Preferred About the Role Were looking for a high-performing Engineering Manager with a strong MEAN stack background, proven leadership skills, and deep experience in Agile environments. This role offers a unique opportunity to lead a high-caliber development team, work on cutting-edge technologies, and collaborate directly with global clients in a fast-paced, product-driven environment. Key Responsibilities Lead and mentor cross-functional Agile teams to deliver scalable, high-performance applications using the MEAN stack. Engage directly with customers to understand requirements and translate them into technical solutions. Drive end-to-end project execution: planning, architecture, design, development, and deployment. Ensure delivery excellence through quality assurance, timely delivery, and effective risk mitigation. Collaborate with product, QA, DevOps, and business stakeholders to ensure seamless project execution. Guide teams on best practices in DevOps, CI/CD, and cloud deployments. Mandatory Qualifications B.E./B.Tech./MCA with 60%+ marks across academics. 12- 14 years of total software engineering experience. Minimum 3 years of experience in team leadership/engineering management. At least 3 years of experience handling customer engagements directly. Hands-on experience and strong technical background in the MEAN stack (MongoDB, Express.js, Angular, Node.js) . Proven ability to lead Agile teams and manage full project lifecycles. Strong interpersonal and communication skills with a client-first approach. Preferred Qualifications Experience in the FinTech or BFSI domain is mandatory Familiarity with cloud platforms like AWS, Azure, or GCP. Understanding of DevOps tools and practices (CI/CD, containerization, version control, monitoring, etc.).
Technical Architect MEAN Stack Location: Noida (Work from Office) Salary: Up to 60 LPA Joiners: Early joiners preferred (immediate to 30 days notice period) About the Company: An established and rapidly growing global technology platform that has revolutionized digital lending and credit marketplaces. The company provides AI-powered, cloud-native solutions to financial institutions, enabling them to automate lending processes, optimize risk management, and deliver superior customer experiences across multiple channels. Role Overview: An excellent career opportunity for a passionate and experienced Technical Architect to take ownership of the product architecture and drive innovation across multiple technology stacks. You will play a key role in building and enhancing high-performance, scalable solutions while mentoring and guiding technical teams to success. Key Responsibilities: Own and drive the technical architecture roadmap in alignment with business objectives. Architect, implement, and maintain scalable and efficient MEAN stack solutions. Lead and enforce best coding standards, design patterns, and code quality across development teams. Proactively identify technical debt, drive technology upgrades, and ensure system robustness. Mentor and develop senior engineers and budding architects to build a strong technical bench. Collaborate closely with cross-functional teams, stakeholders, and leadership to ensure seamless delivery. Build, enhance, and manage the Product API layer through platforms like Postman, Swagger, Apiary, etc. Exhibit strong hands-on coding abilities to guide the team by example. Mandatory Candidate Profile: Bachelors degree (B.Tech/B.E.) from a reputed engineering college or university. Consistent academic record with 60% and above throughout academics. 1012 years of relevant experience in full-stack development with strong MEAN stack expertise. Proven experience in designing scalable cloud-native applications. Strong leadership skills with a focus on team building and people management. Excellent communication, stakeholder management, and presentation skills. Solid understanding of API design, integration patterns, and security protocols. Technology Stack: Frontend: Angular, HTML5, CSS3, JavaScript/TypeScript Backend: Node.js, Express.js Database: MongoDB, SQL/NoSQL databases Cloud: AWS/Azure/GCP (Preferred) Tools: Postman, Swagger, Apiary, Git, Jenkins, Docker, Kubernetes Mail updated CVs to careerprospects@thehrbps.in with "Technical Architect- MEAN stack" in subject line.
Were Hiring | 4 Java Roles | Bangalore & Chennai | 5–12 Years | 20–50 LPA Are you a Java pro passionate about backend development, microservices, and scalable systems? Join our high-impact engineering teams across Bangalore and Chennai . Explore the role that fits your expertise and apply today! 1. Java Developer – Bangalore (8–12 Years | 40 LPA) Location : Bangalore (WFO) Experience : 8–12 Years Salary : Up to 40 LPA Skills : Java 8+, Spring Boot, Microservices MongoDB (2+ yrs), Cassandra (2+ yrs) Data Structures, Algorithms, System Design Highlights : Design robust microservices Handle large datasets & high-performance systems Work closely with DevOps & QA 2. Java Developer – Chennai (5–7 Years | 20 LPA) Location : Chennai (WFO) Experience : 5–7 Years Salary : Up to 20 LPA Skills : Java 8+, Spring Boot, Spring Cloud, AWS (EC2, S3, Lambda) REST APIs, SaaS platforms, Docker, RabbitMQ Test-Driven Development (TDD), Microservices Highlights : Develop cloud-native SaaS apps End-to-end SDLC ownership Support & monitor distributed systems 3. Tech Lead / SSE – Bangalore (7–10 Years | 35 LPA) Location : Bangalore (Hybrid) Experience : 7–10 Years Salary : Up to 35 LPA Notice Period : Max 30 Days Skills : Architecture, Java, Microservices Patterns (DDD, CQRS, Event Sourcing) DevOps Collaboration, UML, Rational Suite, System Design Highlights : Interact with clients, PMs, architects Lead architecture using industry-standard tools Design scalable, secure, resilient systems 4. Java Developer – Bangalore (6–9 Years | 50 LPA) Location : Bangalore Experience : 6–9 Years Salary : Up to 50 LPA Notice Period : Max 30 Days Skills : Java 11, Spring Boot, Spring REST Hibernate, MySQL/PostgreSQL, MongoDB RESTful APIs, Docker/Kubernetes (bonus), Cloud (AWS/Azure) Highlights : Build high-performance backend systems Collaborate with frontend teams Implement security, clean code & scalable APIs
Senior Engineer Software Product Development Hyderabad | Work from Office (WFO) | Preferred Joiners: Immediate – 15 Days Salary: Up to 30 LPA Experience: 4–7 Years About the Role We are looking for a Senior Engineer – Software Product Development to join our core engineering team. This role involves working on high-performance, distributed systems using modern programming languages and event-driven architectures. You will be responsible for building, deploying, and maintaining scalable solutions while following best practices for product development. Key Responsibilities Understand and work according to detailed design specifications. Follow best practices for core product development. Program for distributed systems with parallel processing in Golang, C++, Java. Develop features such as backup/restore and resizing. Manage distributed deployment processes. Handle installation, configuration, and process management. Implement leader election, monitoring, and alerting mechanisms. Requirements Strong experience in building performant and distributed systems with parallel processing. Hands-on with Kafka, Zookeeper, Spark, ETCD (any one or combination). Proficiency in event-driven architectures. Experience with Agile development methodologies. Familiarity with CI/CD pipelines. Who Should Apply Professionals from IT companies with strong expertise in distributed systems. Immediate joiners or those with a notice period of 15 days or less. Based in or willing to relocate to Hyderabad (Work from Office).
Legal Lead Location: Bangalore (Work from Office) Experience: 57 years Salary: 30 LPA Early Joiners Preferred Role Summary We are seeking a Legal Lead who will establish and scale the legal function as a strategic enabler of our 5–7 year growth vision. This role is critical in ensuring expansion across multiple countries is fast, compliant, capital-efficient, and risk-managed . The Legal Lead will act as a trusted advisor to leadership and cross-functional teams , embedding legal as a proactive driver of market entry, innovation, and sustainable growth. Key Responsibilities Set up and manage legal entities across multiple jurisdictions , including incorporation, foreign investment, and regulatory processes. Oversee legal compliance : corporate governance, commercial contracts, product regulations, IP, and employment law. Draft, review, and negotiate contracts with suppliers, distributors, partners, and franchisees. Build and scale legal frameworks to support rapid brand entry and expansion across diverse markets. Manage relationships with external counsel across multiple countries, ensuring cost efficiency and aligned advice. Implement and optimize legal technology tools to drive efficiency, compliance, and scalability. Provide strategic legal counsel to leadership as a proactive business partner. Experience & Skills Required Multi-Country Expertise: 4–5+ years of legal experience with exposure across India, GCC, and Southeast Asia . Proven experience in entity setup & regulatory navigation. Domain Knowledge: Strong foundation in corporate law, commercial contracts, franchise/licensing, regulatory compliance, IP, employment law, and company secretarial matters . Growth-Stage Experience: Hands-on experience in building legal frameworks from scratch and scaling across geographies. External Counsel Management: Skilled at managing outside counsel efficiently across multiple markets. Tech-Enabled Mindset: Exposure to contract management systems, compliance monitoring software, and AI-driven legal research tools . Cross-Functional Skills: Strong communicator with the ability to influence across marketing, finance, supply chain, and product teams . Leadership & Integrity: High ethical standards, sound judgment, and trusted advisor to senior leadership. Why Join Us? Be the founding member of the legal function with a chance to shape policies and processes from the ground up. Work on multi-country expansion projects with high business impact. Drive tech-enabled legal innovation in a fast-growing environment. Apply now if you are ready to build and scale a future-ready legal function!
Finance Business Partner (2 Vacancies - Fashion/Lifestyle & Consumer Goods/Electronics) Location: Bangalore (Work from Office) Experience: 47 years Salary: 40- 45 LPA Looking for Early Joiners We are hiring two Finance Business Partners one for Fashion/Lifestyle (Softline) and one for Consumer Goods/Electronics (Hardline) . Both roles will be responsible for driving financial strategy, profitability, and scaling growth across Asian markets (India, GCC, SEA), while building robust financial frameworks and partnering with business teams. Role 1: Finance Business Partner Fashion / Lifestyle (Softline) Role Summary: Steer financial strategy for Softline brands (fashion/lifestyle) across Asia, driving high growth with sustainable profitability. Use AI-driven analytics and real-time financial systems for margin, pricing, and inventory optimization. Support both new launches (01) and scale-ups (110) with agile finance structures and governance. Mandatory Skills & Experience: MBA Finance with 4–5 years in Business Finance , preferably in retail/e-commerce (fashion/softline) . Expertise in multi-channel retail (online/offline) and cross-border operations across Asia (India, GCC, SEA). Strong in FP&A, pricing strategy, unit economics, and margin management . Exposure to fast product cycles, seasonal demand, and consumer trends . Proficiency in BI tools, automation, AI-based analytics . Role 2: Finance Business Partner – Consumer Goods / Electronics (Hardline) Role Summary: Drive financial strategy to scale consumer durables (electronics, appliances, home goods) into market leaders. Leverage AI-powered analytics for forecasting, demand planning, and pricing . Build financial foundations for product launches (01) and scaled growth (110) with strong governance. Mandatory Skills & Experience: MBA Finance with 4–5 years’ experience in FP&A or Business Finance , preferably in consumer durables/hardline categories . In-depth knowledge of multi-channel retail/distribution and import/export compliance, warehousing, logistics . Demonstrated success in scaling businesses across growth phases . Expertise in margin optimization & cost control (BOM, logistics, warehousing, warranty/after-sales). Proficiency in ERP, BI dashboards, automation, and AI . Strong leadership with problem-solving and ownership mindset . Common Requirements (Both Roles) MBA Finance with 4–7 years’ experience in Business Finance / FP&A. Ability to partner cross-functionally with product, sales, supply chain, operations, and marketing. Work from Office – Bangalore . Salary: 40–45 LPA . Early Joiners Preferred . Why Join Us? Shape financial strategy for high-growth Asian markets . Be part of a tech-enabled, data-driven finance team . Opportunity to work on both Softline (fashion/lifestyle) and Hardline (consumer durables/electronics) businesses. Apply now through Naukri and be part of our high-impact journey!
Lead Software Engineer Backend | Chennai | 6- 10 Years | Salary up to 40 LPA Joining: Immediate to 15 Days Location: Chennai Industry: SaaS Product Companies Only Note: Apply only if you have hands-on experience in the following: JAVA | SPRING | MICROSERVICES | REDIS | POSTGRESQL | AWS | GITHUB (Candidates without SaaS product experience will not be considered.) You Should Apply If You: Have 6 - 10 years of backend engineering experience, preferably in SaaS product environments . Are proficient in Java, Spring, Microservices, Redis, PostgreSQL, Docker, and GitHub. Have strong experience in building scalable APIs and working with HTTP protocols. Are hands-on with performance optimization, debugging, and log management. Contribute to code reviews, production troubleshooting, and continuous deployment improvements. Have experience (or interest) in AWS and cloud-native architectures. Thrive in a collaborative environment, working closely with product and design teams. About the Role: We are looking for a Lead Software Engineer Backend who will take technical ownership of designing, building, and scaling our Observability Platform. You’ll lead by example — mentoring engineers, solving complex architectural challenges, and ensuring world-class code quality and reliability. Key Responsibilities: Drive the design, development, and enhancement of core features and functionalities of our observability platform. Guide and mentor a team of talented backend engineers, fostering technical excellence and innovation. Collaborate with cross-functional teams to design scalable and efficient systems supporting our growing customer base. Stay ahead of emerging technologies , experimenting with solutions to enhance platform performance. Translate business requirements into robust technical solutions while promoting best practices. Identify and address performance bottlenecks to maintain platform stability and availability. Promote a culture of continuous learning and professional growth within the engineering team.
Machine Learning Engineer- 2 VACANCIES Location: Bangalore EARLY JOINERS WILL BE PREFERRED Compensation: Senior ML Engineer: Up to 40 LPA (68 years experience) ML Engineer Level 2: Up to 30 LPA (3–6 years experience) Role 1: Senior Machine Learning Engineer Position Overview: As a Senior Machine Learning Engineer , you will design, implement, and optimize cutting-edge AI and ML solutions to drive innovation and impact. You’ll lead end-to-end ML lifecycle — from research and development to deployment — working closely with cross-functional teams to deliver scalable and high-performing AI systems. Key Responsibilities: Architect, build, and optimize AI product features and ML systems. Lead the design, training, evaluation, deployment, and monitoring of ML models. Implement A/B testing and scalable inference APIs. Optimize GPU architectures, parallel training, and fine-tuning processes. Deploy and maintain LLM-based solutions customized to business needs. Ensure best practices in DevOps and LLMOps using Kubernetes, Docker, and orchestration frameworks. Mentor and guide junior ML engineers. Technical Requirements: LLM & ML: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLMOps: MLFlow, Langchain, Langgraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI Databases: MongoDB, PostgreSQL, Pinecone, ChromDB Cloud: AWS, Azure DevOps: Kubernetes, Docker Languages: Python, SQL, JavaScript Certifications (Preferred): AWS Professional Solution Architect, AWS ML Specialty, Azure Solutions Architect Expert What You’ll Do: Collaborate with product, data, and research teams to build scalable ML systems. Implement state-of-the-art techniques across NLP, Generative AI, RAG, and Transformer models. Build robust and automated data pipelines. Innovate through research and experimentation with emerging AI technologies. Present insights and influence key data-driven decisions. What You Need to Succeed: Master’s degree or equivalent experience in Machine Learning or related field. 6–8 years of relevant industry experience in ML, software engineering, or data engineering. Strong expertise in Python, PyTorch, TensorFlow, and Scikit-learn. Proven track record in ML Ops and deploying models at scale. Excellent problem-solving skills and a passion for innovation. Role 2: Machine Learning Engineer – Level 2 Position Overview: As an MLE-2 , you will design, implement, and optimize AI solutions while ensuring model success. You’ll manage the ML lifecycle from development to deployment, collaborate across functions, and enhance AI capabilities to deliver measurable impact. Key Responsibilities: Design and implement AI product features. Maintain and optimize existing ML systems. Train, evaluate, deploy, and monitor ML models. Build ML pipelines for experiment, model, and feature management. Implement A/B testing and scalable inference APIs. Optimize GPU architectures and fine-tune models for improved performance. Deploy LLM-based solutions for specific use cases. Ensure LLMOps and DevOps best practices using Kubernetes and Docker. Technical Requirements: LLM & ML: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLMOps: MLFlow, Langchain, Langgraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI Databases: MongoDB, PostgreSQL, Pinecone, ChromDB Cloud: AWS, Azure DevOps: Kubernetes, Docker Languages: Python, SQL, JavaScript Certifications (Bonus): AWS Professional Solution Architect, AWS ML Specialty, Azure Solutions Architect Expert What You’ll Do: Work with cross-functional teams to design and implement ML solutions. Apply NLP, Generative AI, RAG, and Transformer-based models. Develop and monitor production-grade ML systems. Build scalable data and model pipelines. Stay updated with the latest ML and AI advancements. What You Need to Succeed: Master’s degree or equivalent experience in Machine Learning. 3–6 years of experience in ML, software engineering, or data engineering. Proficiency in Python and JavaScript. Hands-on experience with ML Ops tools and frameworks. Strong problem-solving and analytical thinking skills.
OCI Cloud Developer / Engineer | Hyderabad | 68 Years | Up to 25 LPA | 15 Days or Less Notice Only Mandatory Skills (Must-Have): Java • Spring Boot • Oracle Cloud Infrastructure (OCI) • Cloud Security • Infrastructure Automation • NoSQL (MongoDB) • Microservices Architecture (Candidates without these skills, please do not apply.) Role Overview We’re looking for a highly skilled OCI Cloud Developer / Engineer to architect, develop and scale enterprise-grade cloud-native applications. If you think in Java, build in Cloud, and scale with microservices — we’re looking for you. Location: Hyderabad Experience: 6–8 Years Salary: Up to 25 LPA Notice Period: Only candidates with 15 days notice Key Responsibilities Application Development: Design and develop cloud-native applications on OCI using Java & Spring Framework . SDK & API Automation: Use OCI Java SDKs / APIs to manage and automate cloud resources. Infrastructure Setup: Build infrastructure components (subnets, gateways, tunnels, security groups) via Java-based automation. CI/CD Integration: Collaborate with DevOps teams to integrate provisioning workflows into CI/CD pipelines. Networking & Security: Apply strong understanding of L2/L3/L7 networking , subnets, VPCs, NAT gateways (good to have). Ensure cloud deployment security compliance. Ability to analyse PCAP files. Database Management: Work with MongoDB (or similar NoSQL) and time-series DBs like OpenSearch for performance and telemetry analytics. Distributed Systems Engineering: Architect scalable, fault-tolerant systems with microservices and cloud-native principles. Agile Collaboration: Participate in sprint planning, code reviews, and work closely with architects, QA & product teams. Required Skills Java, Spring Boot, Spring Framework Hands-on experience with Oracle Cloud Infrastructure (OCI) or other clouds (AWS / Azure / GCP) Cloud Security & Networking Fundamentals MongoDB / other NoSQL databases Knowledge of OpenSearch or time-series DBs Strong understanding of Distributed Systems & Microservices