Female Project Manager

Job Summary

We are looking for a motivated PHP Developer Intern who is eager to learn web application development using CodeIgniter (CI3). The intern will assist the development team in building, testing, and maintaining web applications while gaining practical experience in backend development.

Key Responsibilities

• Assist in developing web applications using PHP and CodeIgniter 3
• Support the team in writing clean and efficient code
• Help in developing and maintaining backend functionalities
• Work with databases such as MySQL for storing and retrieving data
• Assist in debugging and fixing bugs
• Participate in testing and improving application performance
• Learn and follow MVC architecture
• Collaborate with developers and designers on projects
• Maintain proper documentation of tasks and code

Required Skills

• Basic knowledge of PHP programming
• Understanding of HTML, CSS, and JavaScript
• Basic knowledge of MySQL databases
• Familiarity with MVC architecture (preferred)
• Willingness to learn CodeIgniter 3
• Basic understanding of web development concepts

Education

• Pursuing or recently completed Bachelor’s degree in Computer Science / IT / Software Engineering
• Students in final year or recent graduates are preferred

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.

Industry: EdTech / Professional Certification

Working Days: 6 Days a Week

Target Market: UAE / Gulf Working Professionals

Work Location: Bengaluru ( Silk Board )

Job Overview

We are looking for a result-driven Certification Sales Counsellor with proven experience in counselling and selling professional certification programs to working professionals. The ideal candidate must have strong objection-handling skills, consultative selling ability, and experience dealing with career-oriented learners.

Key Responsibilities

• Counsel working professionals on career advancement and certification programs.
• Handle inbound leads and re-activate existing enrolled customers.
• Understand the candidate's background, career goals, and suggest suitable certifications.
• Explain program value, ROI, career impact, and industry relevance.
• Handle objections related to fees, time management, employer support, and certification value.
• Close sales and achieve monthly revenue targets.
• Maintain follow-ups and nurture prospects until conversion.
• Maintain CRM updates and track sales pipeline.
• Coordinate with operations & academic teams for seamless onboarding

🔹 Ideal Candidate Profile

• 2+ years experience in Certification Sales / Career Counselling (EdTech preferred).
• Experience handling working professionals (UAE / Gulf market exposure preferred).
• Strong consultative selling & objection handling skills.
• Target-oriented and revenue-driven mindset.
• Excellent communication & negotiation skills.
• Ability to explain career pr clearly.

Fixed Salary:

Competitive as per industry standards.

Performance-Based Incentives:

• Monthly Revenue Incentives (Slab Based)
• High Conversion Bonus
• Re-activation Bonus for dormant customers
• Quarterly Performance Bonus
• Annual Top Performer Award

🎓 Career Advancement & Growth Path

We believe in internal growth and leadership development.

Growth Path:

Certification Sales Counsellor

⬇

Senior Career Consultant

⬇

Team Lead – Sales

⬇

Assistant Sales Manager

⬇

Sales Manager – UAE Market

⬇

Business Head / Vertical Head

Additional Benefits

• Career Growth in International Market (UAE Focus)
• Sales Training & Certification Sponsorship (based on performance)
• Fast-track promotion for consistent performers
• Leadership Development Program
• Performance Recognition Programs

If interested in Excellent communication with relevant experience

Please find the Job Description for C/C++.

Mandatory Skills

-Must have experience and Good understanding about pointers & memory in C/C++

-Must have experience in Unix/Linux IPC (semaphore, shared memory, socket, multi thread)

-Must have Debug skills : gdb, coredump analysis, network packet analysis

-Must have experience in Source code syntax parser (Preferably lex, yacc, bison, etc.)

-Must have worked on build tools : Makefiles, make, etc.

-Database : Preferably Oracle Good at SQL and stored procedures

Optional Skills

-Telegram development using C/C++

-Finance/Industry domain knowledge

-Japanese speaking skills

• Responsibilities:Troubleshoot and report RCA, propose solutions(how to fix)
• Debug identified problems and provide fixes swiftly
• Ability to write clear and concise documentation
• To understand and maintain legacy codebase
• Individual contributor, but also works closely with junior developers
• Review source code developed by peers
• Proactive to suggest and implement improvements on current products
• Design and develop new features based on requirement document

Location-Bangalore

Please share your updated resume to proceed further.

Thanks & Regards

Shruti(Assistant Executive-HR)

Nichi-In Software Solution Pvt Ltd

URL:- www.nichi.com

Desired Candidate Profile

Affinsys is a Cognitive CX platform that combines Human & AI realms to help businesses with  customer experience management, hyper-personalization & operations automation. With laser sharp focus on Customer Experience automation for financial services, we use Deep learning, NLP, computer vision, big data, recommendation system & speech analytics fused with our domain knowledge of working with 100's of banks across 50 countries to help financial institutions shift : from legacy to latest channels (Embedded Financial services), from transactions to goal based journeys (Personalized customer experience), from reactive service provider to proactive advisor (Robo/AI based advisory), from silos to ecosystem (Open banking).

Experience with Xcode, Cocoa Touch, Swift, third party Framework or libraries and iPhone SDK and React JS.

-Proficient with Swift, and Cocoa Touch.

-Good with OOPs design.

-Experience with IOS frameworks such as Core Data, Core Animation, Core Bluetooth, cocoa pods, etc.

-Experience with offline storage, threading, and performance tuning.

-Familiarity with REST APIs to connect IOS applications to back-end services.

-Understanding of apple design principles and interface guidelines.

-Experience with performance and memory tuning with tools {such as Instruments and Shark, depending on project needs}

-Familiarity with cloud message APIs and push notifications.

-Experience working with Google Map API.

-Must understand REST, JSON