Software Development Engineer II - Backend

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.

Looking to grow your career with a global leader?

Join the Indian unit of a multi-billion dollar German MNC (owned by Schneider Electric) that offers:

·      High Growth: 20% YoY expansion building world-beating software.

·      True Balance: Peak performance with a 4.1 Glassdoor rating for work-life balance.

Apply to the job below!

Job Title: Senior Backend Engineer (.NET Core)

Location: Nashik, India

Employment Type: Full time

Experience: 8+ years

The job  

We are looking for a Senior Backend Engineer (.NET Core) to join our team. This is a hands-on individual contributor role with additional responsibility to guide and mentor backend engineers across senior, mid, and junior levels.

The ideal candidate should have strong experience in .NET Core (8.0+), microservices architecture, API design, and cloud-native development on Azure. The candidate will actively contribute to platform-level backend services, shared components, and integrations across EcoTools and Unify initiatives, while helping establish backend engineering best practices across the team.

Key responsibilities 

- Design, develop, and maintain scalable backend services and APIs using .NET Core (8.0+).

- Build microservices-based backend APIs and tools aligned with EcoTools platform architecture.

- Develop secure and high-performance REST APIs used by micro frontend applications and other services.

- Contribute to backend architecture decisions, including service design, API standards, authentication, and data access patterns.

- Integrate backend services with platform services such as authentication, messaging, logging, and shared Unify components.

- Ensure backend solutions meet non-functional requirements (performance, scalability, reliability, and security).

- Guide and mentor backend engineers through code reviews, design discussions, and architectural best practices.

- Collaborate with frontend engineers, DevOps, and platform teams to ensure seamless system integration.

- Implement unit and integration tests to ensure high code quality and reliability.

- Contribute to CI/CD pipelines, deployment automation, and observability improvements.

- Participate in technical documentation, ADR discussions, and architectural governance reviews.

- Support engineering teams in troubleshooting production issues and improving system stability. 

Essential requirements

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

- 6–9 years of hands-on backend development experience using .NET Core / ASP.NET Core.

- AI Skill Level: Has built or contributed to AI-powered features. Understands prompt, design, evaluation, guardrails, and failure modes.

- Have hands on in spec/skill driven agentic AI development. 

- Strong expertise in REST API design, microservices architecture, and distributed systems.

- Experience working with Azure cloud services (App Services, Azure SQL, Event Hub, Service Bus, or similar).

- Solid understanding of authentication and authorization mechanisms (OAuth2, JWT, OpenID Connect).

- Experience with database technologies such as SQL Server, PostgreSQL, or NoSQL systems.

- Strong knowledge of clean architecture principles, SOLID design patterns, and scalable backend design.

- Experience working in Agile software development environments.

- Strong communication and collaboration skills.

- Strong problem-solving skills, debugging, and performance optimization skills, ownership mindset, and ability to collaborate across teams. 

- Experience working in Agile software development methodologies.

- Ability to manage responsibilities independently and deliver results within deadlines.

Desired skills and competencies

- Experience with distributed application frameworks such as Dapr.

- Exposure to event-driven architectures and messaging systems.

- Familiarity with API Management, gateway patterns, and platform integrations.

- Experience working with large-scale SaaS platforms and micro services architectures.

- Exposure to AI-assisted development tools and modern engineering practices.

NodeJS DeveloperResponsibilities:

• Develop high quality Javascript (ES6) code for our Node.js applications.

• Coordinate with the engineering team to accomplish tasks on agile processes.

• Optimize application for maximum speed and compatibility.

• Multitask seamlessly, always maintaining a positive attitude and a client-first mentality.

• Incorporate engineering best practices, methodologies & standards in all deliverables.

• Build customer facing technology products for global customers.

• Work with a performance oriented team driven by ownership and open to experiments.

• Develop a deep understanding of the start-up ecosystem.

Requirement:

• Must have 1+ years of experience in web application development

• Excellent working knowledge of JavaScript including depth understanding of Node.JS,

Express.JS.

• Demonstrated experiences in Node.js end to end development.

• Experience with modern frameworks and design patterns, minimum one-year experience

with MEAN Full stack paradigm.

• Hands-on experience with JavaScript Development on both client and server-side.

• Comprehensive knowledge of best practices and design patterns for SaaS.

• Good Experience working on Web development, Web Services and Micro services

architecture.

• Work experience in Mongodb / Mysql / No sql db / Any transactional DB.

• Familiarity with RESTful APIs.

• Experience with version control tools (Git)

• Deep understanding of data structures, data flow, Ajax and CRUD.

• Excellent spoken and written English.

Key Responsibilities:

- Customize and develop Odoo modules as per business requirements.

- Integrate Odoo with third-party systems and APIs.

- Analyze, troubleshoot, and debug issues in existing modules.

- Create and maintain technical documentation.

- Migrate data and Odoo versions as needed.

- Collaborate with cross-functional teams (functional consultants, QA, UI/UX).

- Optimize performance and scalability of the Odoo platform.

Required Skills:

- Strong understanding of Python and Odoo framework.

- Proficiency in PostgreSQL, XML, JavaScript, QWeb and OWL.

- Experience with Odoo's core modules (Sales, Purchase, Inventory, Accounting, etc.).

- Familiarity with Odoo Studio and Odoo.sh is a plus.

Job Title: Java Engineering Manager/Lead

Experience range:- 10 + Years

Location:- Pune / Mumbai

Knowledge and Skills:

• Strong proficiency in Core Java, Spring Boot.
• Experience with RESTful APIs, microservices, and multithreading.
• Solid understanding of RDBMS (MySQL/PostgreSQL).
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD tools like Jenkins, GitLab, or GitHub Actions.
• Background in Fintech, particularly Digital Lending, Supply Chain Finance, or Banking products.
• Experience working in agile/scrum environments.
• At least 3 years of experience leading/managing a team of Java developers.

Key Responsibilities:

• Lead and mentor a team of Java developers, ensuring technical excellence and timely delivery.
• Actively participate in coding, code reviews, architecture decisions, and system design.
• Collaborate with cross-functional teams including Product Managers, QA, and DevOps.
• Maintain a strong hands-on presence in backend Java development and microservices architecture.
• Own the end-to-end lifecycle of features from requirement to deployment and post-release support

Rejolut is one of the award-winning fastest-growing emerging tech company which is working on leading technology like Blockchain, ML & AI, Complex mobile & web apps, IoT, etc.

The ideal candidate will be responsible for developing a highly scalable and secure code.

Responsibilities:-
- Able to take the Extreme Ownership of modules/product/projects
- Able to learn & implement new technology/framework/library at God Speed
- Able to come with an optimal solution for the business problem
- Can handle calls with the client & customer to know their feedback
- Writing clean code & able to dig into other's code or open-source code.

Desired Candidate Profile:-
- Good problem-solving skills are a must

- Expertise in Node.js development, Javascript (hands-on Experience )
- Exposure to developing APIs with Node JS
- Knowledge of Node.js and frameworks available for it such as Express, sails.js, StrongLoop, etc
- Knowledge of SQL and NoSQL database
- Knowledge of tools like Docker, Git, Postman, JSdocs, etc.
- Basic understanding of front-end technologies, such as HTML5, and CSS3
- Added advantage (Python or Ruby or Golang)
- Self-motivated and able to drive the team
- Good communication and interpersonal skills
- Experience in working in fintech is a plus

 How we are different 
 -We are a young and dynamic team who are obsessed with solving the business problem at scale.   

-We are a technology agnostic company that focuses more on finding the optimal solution to the business problem rather than technology.

 Why join us
 - We provide a huge learning curve. Spending 1.5-2 years with us will put you 3 years ahead in the career.
- We work only on cutting edge technology like React, React Native, Flutter, NodeJS, Python, Go, Svelte, ELM
- There are two technology Co-founder in the company who are pretty much hands-on and have earlier bult the Consumer application which is downloaded millions of times and are in leadership position in copanies like Samsung, Purplle, Loylty Rewardz.
- Get mentored by the best in the industry
- Flexible working hours
- Perks best in the industry

 Core Java developer responsible for building Java applications. This includes anything between complex groups of back-end services and their client-end (desktop and mobile) counterparts. Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality are essential.

Responsibilities:
•Translate application storyboards and use cases into functional applications.

• Design, build and maintain efficient, reusable, and reliable Java code.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs and devise solutions to these problems.
• Help maintain code quality, organization, and automatization.

Skills Needed:

• Java, JPA, Servlets, JAX/RS, JUnit
• Fullstack : Node/Angular/React
• Algorithm,Design Patterns, Data Structures
• TomCat, Wildfly
• MySQL, PostgreSQL
• HTML, JavaScript, jQuery,
• Mobile exposure: Cordova/PhoneGap
• Exposure in E-Commerce or Product based domain
• NoSQL exposure

Experience: 9 to 16 Yrs

Notice Period: Immediate to 15 days

Job Description:

- The Lead Engineer is responsible for deriving the technical architecture, detailed design, implementation, Performance, and Scalability of the developed system.

- The individual should be capable of single-handedly understanding the requirement, liaison with the product owner and external teams; produce the technical output required.

- Strong Leadership skills to contradict, produce a new design to current trends is required.

- Should be an avid technology enthusiast with strong views on technical architecture.

Technical Skills:

1) Strong Python and Mongo DB is mandatory

2) Web Application Architecture - One Large Project Experience of Development & Maintenance

3) Knowledge in one or more frameworks like WSGI(uwsgi), Django, Flask, Web Application development

4) Exposure to Databases like MongoDB, BigQuery, Elastic Search, Redis, etc.,

5) Knowledge of Code Quality Process and Discipline (Git, Jenkins, etc)