Sales Executive (Edtech)

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.

• Perform hands-on development using Java, Spring Boot, Angular.
• Drive solution design, code quality, best practices, and performance optimization.
• Work closely with the client’s product owners and architects.
• Conduct code reviews, technical grooming, and sprint planning.
• Troubleshoot and resolve complex technical issues.
• Ensure timely delivery of modules with high quality.
• Mentor team members and support them in solving technical blockers.

Technical Skills Required

• Strong expertise in Java 8+, Spring Boot, REST APIs.
• Strong front-end experience with Angular 8+, TypeScript, HTML, CSS.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Hands-on with Git, Maven/Gradle, Jenkins, CI/CD.
• Knowledge of cloud platforms (AWS) is an added advantage.
• Experience with Agile/Scrum methodologies.

Job Objective:

We are seeking an experienced Developer with a strong background in C++, CUDA programming,

and Linux to guide our development team in building cutting-edge solutions for device

integration and high-performance computing tasks. This is a hands-on leadership position that

combines technical expertise with team management skills to deliver high-quality software

products.

Primary responsibilities:

Software Development:

• Develop and maintain high-performance applications using C++ and CUDA.

• Design and implement parallel algorithms for GPUs to accelerate computational

workloads.

Performance Optimization:

• Optimize CUDA kernels for performance, scalability, and memory efficiency.

• Analyze performance bottlenecks and propose innovative solutions.

Code Review and Testing:

• Conduct code reviews to ensure adherence to coding standards and best practices.

• Develop and execute test cases to validate functionality and performance.

Collaboration:

• Work closely with the software engineering and research teams to understand

requirements and deliver robust solutions.

• Provide technical guidance and mentoring to junior team members when necessary.

Documentation:

• Write and maintain technical documentation, including design specifications and user

manuals.

Required Skills:

• C++: Strong proficiency in modern C++ (C++11/14/17/20).

• CUDA Programming: Extensive experience in developing, debugging, and optimizing

CUDA applications.

• GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and

warp-level operations in CUDA.

• Parallel Computing: Solid understanding of parallel algorithms and multi-threaded

programming.

• Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and

numerical methods.

• Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or

Responsibilities:

• Design, implement, and maintain scalable and reliable database solutions on the AWS platform.
• Architect, deploy, and optimize DynamoDB databases for performance, scalability, and cost-efficiency.
• Configure and manage AWS OpenSearch (formerly Amazon Elasticsearch Service) clusters for real-time search and analytics capabilities.
• Design and implement data processing and analytics solutions using AWS EMR (Elastic MapReduce) for large-scale data processing tasks.
• Collaborate with cross-functional teams to gather requirements, design database solutions, and implement best practices.
• Perform performance tuning, monitoring, and troubleshooting of database systems to ensure high availability and performance.
• Develop and maintain documentation, including architecture diagrams, configurations, and operational procedures.
• Stay current with the latest AWS services, database technologies, and industry trends to provide recommendations for continuous improvement.
• Participate in the evaluation and selection of new technologies, tools, and frameworks to enhance database capabilities.
• Provide guidance and mentorship to junior team members, fostering knowledge sharing and skill development.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience as an AWS Architect or similar role, with a focus on database technologies.
• Hands-on experience designing, implementing, and optimizing DynamoDB databases in production environments.
• In-depth knowledge of AWS OpenSearch (Elasticsearch) and experience configuring and managing clusters for search and analytics use cases.
• Proficiency in working with AWS EMR (Elastic MapReduce) for big data processing and analytics.
• Strong understanding of database concepts, data modelling, indexing, and query optimization.
• Experience with AWS services such as S3, EC2, RDS, Redshift, Lambda, and CloudFormation.
• Excellent problem-solving skills and the ability to troubleshoot complex database issues.
• Solid understanding of cloud security best practices and experience implementing security controls in AWS environments.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Database - Specialty, or equivalent certifications are a plus.

Position: Supervisor - Logistics

Location: Bangalore (Jakkanahalli Cross, T Begur, Nh-4, Nelamangala)

Payroll: Randstad

Candidate Profile

• 2 to 5 years of Experience.

• Excellent communication skills with good Knowledge of Kannada & English. Knowledge of Tamil, Telugu and Hindi will be added advantage.

• Candidate should be from Logistics background with sound understanding of local and interstate Transportation.

• Open to Travel to Tamil Nadu, Karnataka, AP, Telanga and Kerala for collection of material.

• Well versed with documentation involved in domestic transportation.

• Understanding of Warehouse operations (Collection, Unloading, Packing, Loading, Dispatch).

• Skills required – problem solving, negotiation

• Computer Knowledge is must

Job description

• Manage contract vehicles and hire vehicles from market for day to day operations.

• Co-ordinate with corporate Logistics team, Customer and collection team for timely execution of orders.

• Responsible for timely packaging and movement of material.

• Meeting with clients/site visit to understand the requirements.

• Prepare route plan as per business requirement.

• Resolve day to day operational challenges.

• SOP Implementation and adherence.

• Maintain and share reports.

Who We Are?

Bectran, the industry leading SaaS platform, has grown rapidly over the last 10 years to become the companion toolkit for the Credit Department just as CRM is for the Sales Department. From simple to complex organizations, SMEs to Fortune 500 companies, Bectran has helped companies cut down the time to process and approve credit by as much as 90% whilst significantly lowering the risk of credit defaults and the cost of collections. Our customers enjoy the ease, speed and cost-effectiveness of adopting the Bectran platform. Credit Professionals in various industries have described the Bectran platform as the future of the credit department.

Mid-Level Software Engineer (Java Fullstack Engineer/Developer)

This dynamic opportunity in a fast growing and multi-technology SaaS platform is for you!! As a Software Engineer at Bectran, it is essential that you have the breadth of knowledge to participate in design and development of a contemporary SaaS-based architecture. Practical development experience using Java/J2EE is required for the right candidate to succeed. You should be curious about technology and open to learning and applying new innovations.

What You’ll Do:

• Enable and exercise your problem solving and analytical skills.
• Design and develop Java/J2EE based full stack software components including complex modeling, MVC based UI, etc.
• Ensure applications are implemented to meet business and technical requirements.
• Work with high performing engineering teams across global locations.

.What You Need to Be Successful:

• Bachelor’s degree in Computer Science or equivalent.
• Solid 4-8 years hands-on design and coding experience.
• Familiarity with Agile development, JSF/Primefaces, JPA/Hibernate, Spring, ActiveMQ.
• Strong object-oriented design, Java/J2EE and MVC architecture based programming skills.
• Solid relational DBMS skills using MySQL, or other RDBMS products.
• Desirable - Experience in Big Data Technologies (Hadoop, ElasticSearch, Kafka, MongoDB, etc.)
• Nice to have - Real-world experience in large scale, and high availability implementations.
• Experience developing web services using REST and SOAP approaches.

What You’ll Love About Bectran:

• Developing strategic industry knowledge and driving your own success.
• Watching your hard work have a direct impact on success of the company and global customer base.
• All standard benefits.

As Bectran continues to expand in the Fintech SaaS industry, we are seeking intelligent, hard-working and highly skilled individuals to join our growing Engineering team. If you are ready to expand your knowledge as you solve complex problems, we want to hear from you!

• Develop new features and improve existing code in C++, specializing in the iOS/Android platforms.
• Has experience with working on huge codebases and comfortable writing and debugging multi-threaded & asynchronous code in Android and the native C++ libraries.
• Understands the resource constraints of mobile devices and implements accordingly robust and efficient solutions with respect to CPU, memory and battery life.
• Be customer-focused and unafraid to challenge the status quo

• Work as part of a dedicated, high-energy team to develop code that spans multiple products.

• Maintain exceptional development standards, especially related to performance, robustness, and testing.

• Support other development teams, build robust relationships and effectively articulate complex ideas.

• Proactively learn new languages, libraries, and platforms as needed. Adapt quickly to changing requirements.

• Activity planning and estimations
• Participate in the design and architecture of the overall product and lead the same for your features.
• Study upcoming technologies, analyze and propose how they can be incorporated to improve the existing product.
• Create high & low-level design artifacts.
• Code Reviews
• Mentoring Android developers in the team
• Develop document solutions for close to a million Acrobat Android users 
• We are looking for you if your answer to the following questions is YES

• Are you interested to be part of a highly collaborative team developing next-generation document solutions?
• Have you developed mobile applications having complex UI and high performance?
• Do you like to solve problems and possess an aptitude for analytical troubleshooting?