Sr Software Engineer

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.

Backend Engineering Intern (Infrastructure Software) – Remote

Position Type: Internship (Full-Time or Part-Time)

Location: Remote

Duration: 12 weeks

Compensation: Unpaid (***3000 INR is just a placeholder***)

About the Role

We are seeking a motivated Backend Developer Intern to join our engineering team and contribute to building scalable, efficient, and secure backend services. This internship offers hands-on experience in API development, database management, and backend architecture, with guidance from experienced developers. You will work closely with cross-functional teams to deliver features that power our applications and improve user experience.

Responsibilities

• Assist in designing, developing, and maintaining backend services, APIs, and integrations.
• Collaborate with frontend engineers to support application functionality and data flow.
• Write clean, efficient, and well-documented code.
• Support database design, optimization, and query performance improvements.
• Participate in code reviews, debugging, and troubleshooting production issues.
• Assist with unit testing, integration testing, and ensuring system reliability.
• Work with cloud-based environments (e.g., AWS, Azure, GCP) to deploy and manage backend systems.

Requirements

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field.
• Familiarity with one or more backend languages/frameworks (e.g., Node.js, Python/Django, Java/Spring Boot, Ruby on Rails).
• Understanding of RESTful APIs and/or GraphQL.
• Basic knowledge of relational and/or NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with version control (Git/GitHub).
• Strong problem-solving skills and attention to detail.
• Ability to work independently in a remote, collaborative environment.

Preferred Skills (Nice to Have)

• Experience with cloud services (AWS Lambda, S3, EC2, etc.).
• Familiarity with containerization (Docker) and CI/CD pipelines.
• Basic understanding of authentication and authorization (OAuth, JWT).
• Interest in backend performance optimization and scalability.

What You’ll Gain

• Hands-on experience building backend systems for real-world applications.
• Exposure to industry-standard tools, workflows, and coding practices.
• Mentorship from experienced backend engineers.
• Opportunity to contribute to live projects impacting end users.

• Contribute to all stages of the software development lifecycle
• Design, implement and maintain Java-based applications that can be high-volume and low-latency
• Analyze user requirements to define business objectives
• Envisioning system features and functionality
• Define application objectives and functionality
• Ensure application designs conform with business goals

Job Description

1. 5- 8 yrs IT industry experience preferably Banking domain
2. Strong Python Skills and good understanding of Java and Microservices
3. Should have handled banking customers and exposure to Production support processes
4. Good in database and Pl/SQL – Ability to write SQL as and when needed  
5. Good attitude and communication
6. WFH not allowed – Working from Bank premises as per bank calendar in Saifabad or Hitech City – Saifabad Flexibility must

Primary duties and responsibilities include:

·         Candidate should be able to work independently with client and should possess excellent written and verbal communication skills.

·         Work closely with experienced integration, frontend, or backend development teams

·         Contribute to estimation and scoping of projects

·         Work on presales environment for checking feasibilities for customer requirement.

Required Experience

·         Bachelor’s degree in Computer Science, or equivalent work experience

·         8 to 10 years of programming experience—preferably with Java 8+, and other tool support

·         5 years of Java # 6 experience

·         Should have experience in executing project independently.

·         Demonstrated ability of Design Patterns and to write efficient, reusable rest services and libraries

·         Experience with agile software development methodologies and software development best practices, pair programming and CI/CD

·         Excellent written and verbal communication skills

·         Excellent analytical skills for solution building of customer requirements.

·         Good knowledge of datastores (RDBMS, Oracle, SQL)

·         Must have in depth understanding of the L1, L2, L3 support environment.

·         Experience in Java, JavaScript, CSS, HTML, XML and other web technologies

·         Strong understanding of network OS and system configurations.

·         Familiarization with OSLC and REST APIs

·         Ability to successfully lead offshore development teams and work in global delivery model- US, India, Germany

·         Knowledge of LDAP

·         Experience with Microsoft Office products- Word, Excel, Powerpoint

·         Experience with other Requirements Management Tools (Polarion, PTC Integrity) will be a value add

Preferred Experience

·         Understanding of high-availability, fault-tolerant, scalable, distributed systems

·         Working knowledge of iText 7, OpenFeign, RabbitMQ/JMS, Mockito and jUnit/nUnit, Spring Cloud


Salary is not constriant. Candidate should have interest to new things.

The Junior/ Senior Software Engineer will be a member of the development team for Supply Chain Application module suite. The Supply Chain modules includes components at various layers, including server-side, integration, supply chain planning engines and user-interface. This individual will be responsible for participating in module development and providing technical assistance to junior members of the team.

Experience and Skills:

• 4-10 years of of experience in writing software
• Strong analytical problem solving skills
• Strong Object Oriented Programming Skills. Good understanding of data structures and algorithms.
• Extensive knowledge of the Java programming language
• Understanding of software design patterns, J2EE components (EJB, JSP, Servlets), and XML
• Experience with relational databases (preferably Oracle) and Object/Relational frameworks. Should be able to write SQL queries, procedures, triggers and do basic performance tuning.
• Experience with C++ is a plus.
• Functional knowledge of supply chain management domain.
• Prior experience in development or consulting with an enterprise software vendor – preferably in supply chain planning or forecasting area.
• Experience with enterprise integration patterns & protocols, including SOAP, REST, JMS, EDI is a plus.
• Experience writing build & deployment scripts (e.g. Ant)
• Excellent communication (verbal and written) and interpersonal skills
• Systems implementation skills: requirements/process analysis, conceptual and detailed design, configuration, testing, training, support
• Some experience with a scripting language such as Python or Ruby preferred
• Some experience with newer web client technologies such as AJAX, EXTJS preferred.

Essential Functions:

• Producing design documents based on a requirements document and participating in design reviews
• Producing effort estimates
• Writing code, automated unit and functional tests, and build/deployment scripts
• Participating in code reviews
• Executing performance/scalability tests & profiling hotspots
• Collaborating with QA, Technical Operations and Production Support during the various phases of a project

Education:

BE/ BTech/ ME/ MTech in Engineering, Computer Science