DevOps Engineer

Job Opening: Property Manager

Experience Required: 2+ Years

Location: Delhi NCR

Employment Type: Full-time

Key Responsibilities

• Tenant Management: Handle tenant onboarding, lease agreements, renewals, rent collection, and resolving daily queries.
• Property Operations: Oversee routine facility maintenance, security, cleanliness, and vendor/contractor management.
• Inspections & Repairs: Conduct regular property inspections, address repair requests promptly, and ensure preventive upkeep.
• Budgeting & Compliance: Track operational expenses, maintain property records, and ensure adherence to local building and safety codes.

Requirements

• Experience: Minimum 2+ years of hands-on experience in Property or Facility Management.
• Skills: Strong communication, negotiation, vendor management, and problem-solving abilities.
• Software: Basic knowledge of Property Management software/CRMs and MS Office.
• Education: Bachelor’s degree in Business, Hospitality, Real Estate, or a related field.

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.

We're Hiring for Golang Developer (2–4 years experience)

Company: Tradelab Technologies

Location: Bangalore (Preferred candidates from Bangalore or nearby locations only)

We are looking for a Golang Developer with strong experience in backend development, microservices, and system-level programming. The role involves contributing to high-performance trading systems, low-latency architecture, and scalable backend solutions.

Key Responsibilities

• Develop and maintain backend services using Golang

• Build scalable, secure and high-performance microservices

• Work with REST APIs, WebSockets, message queues and distributed systems

• Collaborate with DevOps, frontend and product teams for smooth delivery

• Optimize performance, troubleshoot issues and ensure system stability

Skills & Experience Required

• 2–4 years of experience in Golang development

• Strong fundamentals in data structures, concurrency and networking

• Experience with MySQL/Redis/Kafka or similar technologies

• Understanding of microservices, APIs and cloud environments

• Experience in fintech/trading systems is a plus

If you are passionate about backend engineering and want to work on fast, scalable trading systems.

We are hiring for ASP.NET MVC/Core Developer.

Experience Range: 1-3 years

Role and Qualifications:

• Essential: Proficiency in ASP.NET MVC & ASP.NET Core, with a minimum of 1 year of hands-on experience

• Familiarity with .NET framework versions starting from .NET 4.5 and onwards

• Strong grasp of C#, JavaScript, TSQL, HTML, ASP.NET MVC, ASP.NET Core, ASP.NET Web API, and MSSQL

• Effective verbal and written communication skills

• Even candidates with foundational knowledge are encouraged, including freshers

If you're an ASP.NET developer ready to contribute your skills within a dynamic environment, we're excited to welcome you, regardless of where you're located. 

Your expertise will be valued as we navigate the latest technologies and celebrate a culture of excellence.

Feel free to reach out and explore this opportunity further

Job DescriptionWe are seeking an experienced HubSpot CRM Developer to join our team. The ideal candidate will have a strong background in HubSpot development, integrations, and dashboard creation while working with cross-functional teams to optimize CRM functionality.

Key Responsibilities:●    Develop, customize, and optimize HubSpot CRM to meet business needs.

●    Integrate HubSpot with other technologies and external business intelligence tools like Power BI and Tableau.

●    Build and maintain dashboards and reports to support marketing, sales, operations, and finance teams.

●    Work with backend technologies (PHP, Python, Node.js, etc.) to implement integrations and automation.

●    High proficiency in JavaScript.

●    Develop and maintain scripts in any suitable scripting language to support CRM functionality.

●    Ensure seamless data flow and synchronization between HubSpot and external platforms.

●    Collaborate with multiple teams to understand data requirements and optimize CRM processes.

Requirements:●     7-10 years of relevant experience in HubSpot development and integration.

●    Strong expertise in backend development using any  PHP, Python, or Node.js.

●    High proficiency in JavaScript and any scripting languages.

●    Experience in HubSpot API integration with other platforms.

●    Proficiency in dashboard and reporting tools like Power BI and Tableau.

●    Ability to work independently (IC role) while collaborating with cross-functional teams.

●    Must have experience in handling end-to-end projects from scratch.

●    Exposure to multiple industries/domains is preferred (not limited to a single company for 5-10 years).

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

WHAT YOU’LL BE DOING: 

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement. 
• Collaborate with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience. 

• Develop ideas for new programs, products, or features by monitoring industry developments and trends. 
• Record data and report it to proper parties, such as clients or leadership. 
• Participate in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. 
• Take the lead on projects, as needed. 
• Be involved and participate in the overall application lifecycle. 

• Build high-quality reusable code that can be used in the future. 
• Develop functional and sustainable web applications with clean codes. 
• Conduct UI tests and optimize performance. 
• Manage cutting-edge technologies to improve applications. 

QUALIFICATIONS: 

• Bachelor’s degree in Computer Science, Computer Programming or relevant field. Master’s Degree in a related field is preferred. 
• 5-7 years of relevant experience 
• Must be an expert programmer, skilled at computer languages such as HTML, C+++, C#, PHP, Python and Java. 
• Must understand Spring Core, Spring Boot, Spring MVC, Spring Data, JMS, Mysql, Redis, CouchDb, Micro Services, Docker, Kubernetes 
• Must be able to interpret and follow instructions related to the ultimate functionality of our IT-based product 

• Familiarity with front-end languages such as HTML, JavaScript and CSS 
• Must be comfortable with technology architecture and how a computer and its software functions. 
• Deadline driven, organized and understand how people view and understand content on the front-end 
• Proven experience in highly complex environments 
• Strong technical documentation skills 

• An ability to solve multifaceted technical issues in a fast-paced environment 
• Self-motivated and accountable for your work 
• Passionate about learning and continuous improvement 
• Excellent written and verbal communication skills 
• Ability to work overtime