Java Developer - Immediate Joiner

Client Company is a profitable, rapidly scaling unicorn which is extremely well capitalized. Client has a very strong moat in the consumer lending space on the back of which it is entering into additional large markets such as E-comm and UPI. 

Client company is now entering its next phase of growth from a fast-scaling startup to a robust, high-scale financial platform serving millions of users daily. You'll design systems built for 10x100x growth, make the key technical trade-off calls, and stay deeply hands-on. Beyond building, you'll mentor engineers and work directly with founders and product teams to translate business goals into scalable, reliable systems. 

This role is an opportunity to: 

• Shape the next-generation architecture for a high-throughput fintech system 
• Build systems designed to scale 10x–100x from current volumes 
• Solve real-world problems across performance, reliability, and financial-grade security 

Responsibilities 

•  Design and evolve the platform architecture to support 10x–100x growth 
•  Own systems end-to-end from the first design decision to production impact 
•  Lead system design discussions and set the long-term technical direction for the platform 
•  Identify scale bottlenecks early and drive solutions 
•  Mentor and elevate engineers through design reviews, code quality, and architectural thinking 
•  Partner directly with founders and product teams to turn business priorities into scalable systems 
•  Operate with high ownership in a fast-paced environment where priorities evolve quickly 
•  Drive projects independently own timelines, coordinate with teams, and see delivery 
•  Conduct rigorous code reviews and champion engineering best practices across the team 
•  Proactively identify gaps in the system and come up with concrete approaches to address them 
•  Solve technical problems across the company not just confined to a single pod 
•  Challenge existing architecture with data and reasoning push back when it’s the right call, and drive adoption of better approaches.

Requirements 

•  7–12 years of experience in backend or platform engineering 
•  Strong computer science fundamentals (preferably from IIT, BITS, NITs) 
•  Strong proficiency in backend development (Node.js, Java, Go, or equivalent) 
•  Proven experience scaling systems through high-growth startup phases (1→10 or beyond) 
•  Track record of building and owning critical platforms or systems from scratch 
•  Exposure to high-volume transactional systems; fintech or lending is a strong plus 
•  Bias for action - moves fast, makes sound decisions, owns outcomes end-to-end 
•  Comfortable navigating ambiguity and evolving priorities in a startup environment 
•  Strong problem-solving skills ability to break down complex technical challenges and arrive at pragmatic, well-reasoned solutions 
•  Hands-on experience with platform engineering developer tooling, shared services, infrastructure abstractions, or internal platforms 

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.

 Strong written/verbal communication skills

·        Minimum 2-15 Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)

·        Good knowledge of the JVM with an understanding of performance and memory optimization.

·        Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·        Excellent knowledge on collections like, Array List, Vector, LinkedList, Hashmap, HashTable, HashSet is mandate.

·        Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·        Expert level understanding of Object-Oriented Concepts and Data Structures

·        Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

Please share your updated CV with the the below details:

Total Exp:

CTC:

Expectation:

Current Location:

Preferred Location:

Available for F2F Interview - Y/N :

Notice Period:

Regards,

Rashmi

Job Summary:

We are looking for a skilled and motivated Backend Engineer with 2 to 4 years of professional experience to join our dynamic engineering team. You will play a key role in designing, building, and maintaining the backend systems that power our products. You’ll work closely with cross-functional teams to deliver scalable, secure, and high-performance solutions that align with business and user needs.

This role is ideal for engineers ready to take ownership of systems, contribute to architectural decisions, and solve complex backend challenges.

Website: https://www.thealteroffice.com/about

Key Responsibilities:

• Design, build, and maintain robust backend systems and APIs that are scalable and maintainable.
• Collaborate with product, frontend, and DevOps teams to deliver seamless, end-to-end solutions.
• Model and manage data using SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis), incorporating caching where needed.
• Implement and manage authentication, authorization, and data security practices.
• Write clean, well-documented, and well-tested code following best practices.
• Work with cloud platforms (AWS, GCP, or Azure) to deploy, monitor, and scale services effectively.
• Use tools like Docker (and optionally Kubernetes) for containerization and orchestration of backend services.
• Maintain and improve CI/CD pipelines for faster and safer deployments.
• Monitor and debug production issues, using observability tools (e.g., Prometheus, Grafana, ELK) for root cause analysis.
• Participate in code reviews, contribute to improving development standards, and provide support to less experienced engineers.
• Work with event-driven or microservices-based architecture, and optionally use technologies like GraphQL, WebSockets, or message brokers such as Kafka or RabbitMQ when suitable for the solution.

Requirements:

• 2 to 4 years of professional experience as a Backend Engineer or similar role.
• Proficiency in at least one backend programming language (e.g., Python, Java, Go, Ruby, etc.).
• Strong understanding of RESTful API design, asynchronous programming, and scalable architecture patterns.
• Solid experience with both relational and NoSQL databases, including designing and optimizing data models.
• Familiarity with Docker, Git, and modern CI/CD workflows.
• Hands-on experience with cloud infrastructure and deployment processes (AWS, GCP, or Azure).
• Exposure to monitoring, logging, and performance profiling practices in production environments.
• A good understanding of security best practices in backend systems.
• Strong problem-solving, debugging, and communication skills.
• Comfortable working in a fast-paced, agile environment with evolving priorities.

There is a Job Opportunity for a Software Engineer in Canada, Australia,

We have multiple openings for Software Engineer Profiles.

Job Description:- A Software Engineer is an IT professional who designs, develops, and maintains computer software at a company. They use their creativity and technical skills and apply the principles of software engineering to help solve new and ongoing problems for an organization. Search for jobs.

Software Engineer Responsibilities:

• Developing and directing software system validation and testing methods.
• Directing our software programming initiatives
• Overseeing the development of documentation.
• Working closely with clients and cross-functional departments to communicate project statuses and proposals.
• Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems.

Software Engineer Requirements:

• A bachelor's degree in computer science, software engineering, or another related field.
• 2 to 4 years of software engineering or software development experience, preferably in a related field.
• Hands-on programming experience using relevant languages.
• Experience using relevant tool suites.
• Creative problem-solving skills.
• Experience working with clients and business partners.

Facilities: Free food accommodation, allowances, and medical facilities.

Primary Skills: Java Backend Development, UNIX, Oracle, SQL, MQFTP

Secondary Skills:  Autosys, Service Now

Experience: 6- 8 years

Responsibilities:

• Drive the Migration Project and support Business Applications teams through the project lifecycle.
• Interpret written business requirements, functional requirements and technical specification documents to design and develop technical solutions that meet business needs
• Contribute to Application development, migration of components, testing and Production Support.
• Collaborate with IT and Business partners to develop, and troubleshoot end to end technical solutions
• Create and maintain technical evaluation documentation using defined technical documentation templates that meet standards

Required Skills:

• Well versed with Java Backend Development.
• Proficient in Oracle, SQL.
• Experience in Shell scripting in UNIX, Autosys scheduler
• Good understanding of Database Management Systems (DBMS)
• Knowledge of different file movement patterns and tools  - File Transfers, Messaging, MQFTP, Sterling Integrator, Mobius
• Knowledge of different file formats plus file format conversion to & from JSON, csv etc.
• Good understanding of Object-Oriented Programming
• Good understanding of SDLC lifecycle & processes.
• Exposure to ITIL foundational concepts, Service Now and Production Management Activities.
• Financial Services experience will be a plus
• Experience in using Dev tools ( Eclipse ), code quality tools, defect tracking tools

Desired Skills: 

• Strong interpersonal, oral, presentation, and written communication skills

• Excellent team player with good organizational, communicational, analytical and logical skills.

You will:

• Build services that serve millions of users
• Build for performance, reliability, and scalability
• Design easy-to-use APIs, systems, and tools
• Work with small teams of engineers, product, design, operation and other teams
• Lead projects, achieve goals, celebrate success with your teams

What you bring:

• 5+ years as individual contributor
• Strong background in Computer Science
• Strong technical expertise in robust and scalable server platform
• Helpful experiences include Java, Python, AWS, GCP, DevOps
• Leadership at bijnis is a service - you must be influential, patient, compassionate, able to prioritize, and able to inspire
• Ability to collaborate across multiple and cross functional teams
• Strategic mindset combined with pragmatic execution, and bias for action