Project Manager - Climate Trace

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.

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency, and low-latency requirements.

Key Responsibilities

• Develop and implement a comprehensive L&D strategy aligned with business priorities and growth targets.
•  Act as a strategic advisor to senior leadership on talent development, succession planning, and sales readiness.       
• Promote a culture of continuous learning, high performance, and sales excellence.
• Build and maintain leadership pipelines, addressing critical skill gaps across the organization.
• Integrate market insights, product knowledge, customer-centric strategies, and competitive intelligence into learning journeys.
• Team Development: Build, mentor, and empower high-performing teams that are mission-aligned and impact-driven.

Key Competencies Required:

• Deep expertise in L&D strategy, payroll management, and talent acquisition.
• Ability to structure, monitor, and optimize team performance.
• Strong strategic thinking and ability to align HR initiatives with business objectives.
• Experienced in managing and developing large sales teams, driving capability and performance.

Job Summary:

We are looking for enthusiastic and motivated fresh graduates to join our Business Development team. As a Business Development Executive, you will learn and contribute to lead generation, client communication, and sales growth activities. This role is ideal for candidates who are eager to build a career in sales and business development.

Key Responsibilities:

• Identify and generate new leads through online research, networking, and calls.
• Support senior team members in client communication and presentations.
• Understand customer requirements and share product/service details effectively.
• Maintain records of leads, prospects, and client interactions in CRM tools.
• Contribute to achieving sales targets and business growth objectives.

Required Skills:

• Strong verbal and written communication.
• Basic knowledge of sales concepts and MS Office tools.
• Quick learner with a positive and proactive attitude.
• Confidence in client interaction and presentations.
• Ability to work in a team environment.

Qualification:

• Bachelor’s/Master’s Degree in Business, Pharmacy, Life Sciences, or related fields.
• Freshers with a passion for sales and business development are encouraged to apply.

Key Responsibilities:

1. Software Development:

- Design, develop, and maintain robust, scalable, and high-performance applications using the .NET framework.

- Implement and test software components to meet project requirements.

- Collaborate with other team members to understand business needs and translate them into technical specifications.

2. Review and Optimization:

- Conduct code reviews to ensure code quality, best practices, and adherence to coding standards.

- Identify and implement performance optimizations to enhance the overall efficiency of the applications.

3. Troubleshooting and Debugging:

- Investigate and resolve software defects and issues in a timely manner.

- Perform debugging and troubleshooting activities to identify and fix software bugs.

4. Documentation:

- Create and maintain technical documentation for software components, processes, and procedures.

- Provide clear and comprehensive documentation to assist other team members and stakeholders.

5. Collaboration:

- Work closely with cross-functional teams, including product managers, designers, and QA engineers, to deliver high-quality software solutions.

- Participate in Agile/Scrum development processes and contribute to sprint planning, daily stand-ups, and retrospectives.

Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or related field.

- Proven experience as a .NET Developer or Software Developer.

- Strong proficiency in C# and the .NET framework.

- Experience with ASP.NET MVC, Web API, and other relevant technologies.

- Knowledge of front-end technologies such as HTML, CSS, and JavaScript.

- Familiarity with database systems, particularly SQL Server.

- Understanding of software development best practices, design patterns, and architecture.

- Excellent problem-solving and debugging skills.

- Strong communication and collaboration skills.

Preferred Skills:

- Experience with cloud platforms, such as Azure or AWS.

- Knowledge of DevOps practices and tools.

- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

- Experience with agile development methodologies.

Benefits:

- Competitive salary

- 5 days working

- Professional development opportunities

- Flexible work schedule

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces, such as “touch”
• Familiarity with the use of additional sensors, such as gyroscopes and accelerometers
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications

Hi All,

Greetings from LMV Financial Services Pvt. Ltd.!!!

We are hiring for Life/ Health Insurance Executive Profile.

Location - Hyderabad,sommajiguda

Freshers - MBA Graduate or persuing

Candidate must have prior working experience in the same domain

Can able to work in open Market for Corporate DSA.

Core Competency:

Professional development experience, working the full stack on large scale B2B, SaaS products. • Expertise with learning new technologies and strong experience with our tech stack AngularJS, JavaScript, Node.js, Go, React.js and Postgres. • Bachelor’sin Computer Scienceorsolid knowledgeof CS fundamentals(OOP, designpatterns, algorithms, etc...) • Experience and adesire towork in a fast-paced environment. • We are a leading cloud-based open platform used by some of the most prestigious companies around • You will get to work with some of the most complex technologies on the market today • You will have an opportunity to work at all levels of the organization.

Role: Backend Developer-SDE2

• 3-5 years of exp into

Responsibilities:

• Work on the development backend systems for our first product.
• Build reliable, secure and performant backend systems.
• Drive test coverage and continuous delivery automation within the team.

Requirements:

• 3-4 years of software development experience.
• Strong computer science fundamentals.
• Good knowledge of Java ecosystem.
• Can write code that is readable, maintainable and performant.
• Good understanding of relational databases, transactions, entity-relationship modeling.
• Comfortable writing multi-threaded programs.

MUST HAVE SKILLS
- CORE JAVA & SQL

Desired Skills
Designing, implementing and delivering high quality Software project in JAVA, SQL / Oracle, J2EE and other JAVA technologies.

Job Responsibilities
Participate in detailed level in design, coding, code walk through, peer code reviews and unit testing,  System Testing, UAT, Demos, POCs, installation, maintenance of Software modules. 

❑ Ensures the preparation of the following: 

▪ Software prototype 

▪ System Architecture 

▪ Software Design Document 

▪ User interfaces to be developed as per UX guidelines 

▪ Code files ensuring coding guidelines followed 

▪ Code review artefacts during peer code review 

▪ Test plan and Test Cases 

▪ Installation / Deployment document 

▪ Release Document 

▪ Technical Documentation 

❑ Documents and demonstrates solutions by developing documentations, flowcharts, layouts, diagram, charts,  code. comments and clear code; Ensuring that project task are completed in defined effort and timelines ❑ Prepares and installs solutions by determining and designing system specifications, standards & programming. 

❑ Testing: Writing of test cases, unit testing, system testing, negative testing 

❑ Trouble shooting: Log analysis and database query optimization  

❑ Improves operations by conducting system's analysis. 

❑ Updates job knowledge by studying state of the art development tools, programming techniques & computing equipment; participates in educational opportunities, reads professional publications & maintains  personal networks.  

❑ Protects operations by keeping information confidential. 

❑ Provides information by collecting, analyzing and summarizing development and service issues.  ❑ Develops software solution by studying information needs, conferring with users, studding system flow,  data usage and work processes, investigating problem areas, following delivery cycle.