iOS Developer (Permanent WFH)

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 Title : Senior Node.js Developer

Experience : 5 to 10 Years

Location : Gurugram (5 days WFO) | Initial 15 days in Udaipur (expenses covered)

Notice Period : 1 Month or less

Role Overview :

We are hiring a Senior Node.js Developer to lead and deliver scalable solutions, drive best practices, and mentor engineers. Strong Node.js expertise is mandatory (MERN experience welcome with Node.js depth).

Mandatory Skills :

Node.js, Express.js, Data Structures & Algorithms, System Design (HLD/LLD), CI/CD, Git, Agile, Async programming, Debugging & Performance Optimization.

Key Responsibilities :

• Lead development and ensure high‑quality delivery.
• Gather requirements, design (HLD/LLD), and implement solutions.
• Optimize performance, scalability, and integrations.
• Mentor team members and support hiring.
• Collaborate in Agile teams and enforce coding best practices.

Required Skills :

• 5 to 10 Years in backend with Node.js/Express.js.
• Strong in DSA, problem‑solving, and system design.
• Experience with CI/CD, Git, and Agile methodologies.
• Expertise in async programming, debugging, and performance tuning.
• Excellent communication and collaboration skills.

Nice to Have : MERN stack exposure, cloud (AWS/Azure/GCP), Docker, caching/queues.

Interview Process :

1. AI Technical Interview
2. System Design Round (HLD & LLD)
3. Data Structures & Algorithms
4. HR Interview

Location :

• Primary : Gurugram (Digital Greens, Sector 61)
• Initial 15 days : Udaipur (A‑square, Shobhagpura)

Note : Preference for Gurugram/NCR candidates. Stable profiles only.

JOB DETAILS:

* Job Title: Java Lead-Java, MS, Kafka-TVM - Java (Core & Enterprise), Spring/Micronaut, Kafka

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 9 to 12 years

* Location: Trivandrum, Thiruvananthapuram

Job Description

Experience

• 9+ years of experience in Java-based backend application development
• Proven experience building and maintaining enterprise-grade, scalable applications
• Hands-on experience working with microservices and event-driven architectures
• Experience working in Agile and DevOps-driven development environments

Mandatory Skills

• Advanced proficiency in core Java and enterprise Java concepts
• Strong hands-on experience with Spring Framework and/or Micronaut for building scalable backend applications
• Strong expertise in SQL, including database design, query optimization, and performance tuning
• Hands-on experience with PostgreSQL or other relational database management systems
• Strong experience with Kafka or similar event-driven messaging and streaming platforms
• Practical knowledge of CI/CD pipelines using GitLab
• Experience with Jenkins for build automation and deployment processes
• Strong understanding of GitLab for source code management and DevOps workflows

Responsibilities

• Design, develop, and maintain robust, scalable, and high-performance backend solutions
• Develop and deploy microservices using Spring or Micronaut frameworks
• Implement and integrate event-driven systems using Kafka
• Optimize SQL queries and manage PostgreSQL databases for performance and reliability
• Build, implement, and maintain CI/CD pipelines using GitLab and Jenkins
• Collaborate with cross-functional teams including product, QA, and DevOps to deliver high-quality software solutions
• Ensure code quality through best practices, reviews, and automated testing

Good-to-Have Skills

• Strong problem-solving and analytical abilities
• Experience working with Agile development methodologies such as Scrum or Kanban
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Familiarity with containerization and orchestration tools such as Docker or Kubernetes

Skills: java, spring boot, kafka development, cicd, postgresql, gitlab

Must-Haves

Java Backend (9+ years), Spring Framework/Micronaut, SQL/PostgreSQL, Kafka, CI/CD (GitLab/Jenkins)

Advanced proficiency in core Java and enterprise Java concepts

Strong hands-oacn experience with Spring Framework and/or Micronaut for building scalable backend applications

Strong expertise in SQL, including database design, query optimization, and performance tuning

Hands-on experience with PostgreSQL or other relational database management systems

Strong experience with Kafka or similar event-driven messaging and streaming platforms

Practical knowledge of CI/CD pipelines using GitLab

Experience with Jenkins for build automation and deployment processes

Strong understanding of GitLab for source code management and DevOps workflows

*******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: only Trivandrum

F2F Interview on 21st Feb 2026

Founded in 2016, they are one of the leading online scheduling software companies in the world, with over 200,000 customers globally. They are a profitable, high-growth bootstrapped platform-as-a-product company with 50+ team members looking to grow to $50M in revenue in the next 3 years. 

Role: SSE- Backend [Golang]

Location: Remote (India)

CTC: 22-26 LPA

NP: 30 days or less

Note: Other Backend Language /Frameworks like Python, NodeJS and Java Springboot and willingness to learn Golang can also be considered

Skillset Requirements:

- Strong experience with backend programming languages and technologies like

- Golang (minimum 2-year experience)

- Protobuf and gRPC

- RESTful APIs

- Docker and Kubernetes

- Medium-level experience with PostgreSQL and MySQL database concepts.

- Ability to write efficient, secure, well-documented, and clean code.

- Proven ability to work with multiple teams, multitask and prioritize.

- Experience with Git, JIRA, and Agile working methodology.

- Experience with design patterns, Event-Driven architecture, and Domain Driven Designs.

Responsibilities:

- Write code that meets standard and delivery guidelines.

- Mentor fellow engineers in the team to develop high-quality software and perform code

reviews.

- Work with the team to break user stories into tasks and delegate them to the team

members.

- Playing a key role in architectural and design decisions, building toward an efficient

microservices distributed architecture.

- Analyze solutions and help implement engineering best practices.

- Work with Project Managers for timely delivery and forecast.

- Lead and mentor junior engineers on technical issues. Perform blameless RCAs when

issues occur and take ownership to resolve issues.

#remotejobs #bootstrapped #platformasaproduct #highgrowth

Sr. PHP Developer

Position: Senior Laravel Developer

Key Responsibilities:

·        Develop and create websites, applications, and systems

·        Participate on the Development and Testing Phase of the Projects

·        Participate as a member of the Scrum team

·        Maintain and enhance existing Projects

·        Deliver quality output on all Projects

·        Showcase your analytical and problem-solving ability.

·        Guide and Mentor other developers

·        Be updated on the latest technologies

Requirements:

· More than 4-8 years’ experience in PHP

· Must have minimum 4 years work experience in Laravel framework

· Knowledge and experience in: MySQL, JQuery, Bootstrap, HTML,CSS

· Knowledge on Coding Standards, Design Patterns, and Best Practices

· Has experience and understanding on Agile Software Development.

· Ability to prioritize and handle multiple tasks and projects concurrently.

· Able to mentor, collaborate and guide other team members

· Team Player, Proactive and Accountable