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Job Title: KDB+ Developer (Q Programming)

Location: Mumbai, India

Experience: 3 to 5 Years

Employment Type: Full-time

Job Description

We are seeking a highly skilled KDB+ Developer with hands-on experience in Q programming language to join our dynamic team in Mumbai. As part of our organization, you will play a key role in designing, developing, and maintaining time-series databases and analytics systems for high-performance financial applications.

Key Responsibilities

Develop and maintain KDB+ databases and applications.

Design, implement, and optimize data models and queries using Q programming language.

Work closely with stakeholders to gather requirements and deliver technical solutions for large-scale, real-time analytics.

Integrate KDB+ with other technologies and platforms.

Troubleshoot and resolve issues in the KDB+ environment to ensure optimal performance and uptime.

Collaborate with cross-functional teams to deliver end-to-end solutions in a fast-paced environment.

Required Skills and Qualifications

3 to 5 years of experience in KDB+ development with strong proficiency in Q programming language.

Expertise in building scalable, high-performance applications using KDB+.

Strong analytical and problem-solving skills.

Familiarity with real-time data processing and time-series databases.

Knowledge of financial markets and trading systems is a plus.

Ability to work collaboratively in a team-oriented environment.

Excellent communication skills and attention to detail.

Preferred Skills

Knowledge of Python, Java, or other programming languages is a bonus.

Experience in Linux/Unix environments.

Exposure to cloud technologies is an added advantage.

If you are passionate about working on large-scale data systems and solving complex problems, we would love to hear from you!

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.

Role Overview

We’re looking for an Elixir Developer who is passionate about building scalable, high performance backend systems. You’ll work closely with our engineering team to design, develop, and maintain reliable applications that power mission-critical systems.

Key Responsibilities

• Develop and maintain backend services using Elixir and Phoenix framework.

• Build scalable, fault-tolerant, and distributed systems.

• Integrate APIs, databases, and message queues for real-time applications.

• Optimize system performance and ensure low latency and high throughput.

• Collaborate with frontend, DevOps, and product teams to deliver seamless solutions.

• Write clean, maintainable, and testable code with proper documentation.

• Participate in code reviews, architectural discussions, and deployment automation

Must-Have Qualifications

• 2–4 years of hands-on experience in Elixir (or strong functional programming background).

• Experience with Phoenix, Ecto, and RESTful API development.

• Solid understanding of OTP (Open Telecom Platform) concepts like GenServer, Supervisors, etc.

• Proficiency in PostgreSQL, Redis, or similar databases.

• Familiarity with Docker, Kubernetes, or cloud platforms (AWS/GCP/Azure).

• Understanding of CI/CD pipelines, version control (Git), and agile development.

Good-to-Have Skills

• Experience with microservices architecture or real-time data systems.

• Knowledge of GraphQL, LiveView, or PubSub.

• Exposure to performance profiling, observability, or monitoring tools.

Exp: 4-8yrs

Notice period: Max 30 days

Location: Andheri East

Working Days- 6 Days with Sunday off (2nd Saturday off as well)

Key Responsibilities:

 Design, develop, and maintain WinForms applications.

 Knowledge of .NET languages including C#, & Winforms is Mandatory.

 Collaborate with cross-functional teams to define, design, and implement new

features.

 Write clean, scalable, and efficient code using C# and ASP.NET.

 Develop and maintain SQL Server databases, including writing complex

queries and stored procedures.

 Troubleshoot, debug, and optimize existing applications.

 Participate in code reviews and contribute to team knowledge sharing.

 Ensure application security, performance, and reliability.

Qualifications:

 Bachelor’s degree in Computer Science, Information Technology, or a related

field.

 Minimum of 3 years of experience in .NET development.

Rejolut is among the fastest-growing and award winning Tech companies working on leading technologies namely Blockchain, Machine Learning & Artificial Intelligence, Complex mobile & Web Apps, IoT, etc.Rejolut is a venture-backed company with clients in over several countries namely Malaysia Airlines,gba global,my-earth,biomes, Dlg-hub,etc.

We are looking for Tech geeks having hands-on experience and in love with building scalable, distributed and large web/mobile products and tech solutions. He/She must be an excellent problem solver with passion to self-learn and implement web technologies (frontend + backend). He/She would be responsible for the architecture design, code review, and technology build and deployment activities of the product. 

Responsibilities:-

-Work with the team to develop world-class tools through practical development and collaboration with the open source Go community

-Interact with internal and external developers and communities

-Work with the toolchain team and other engineering teams as well as the community on senior-level feature contributions to Golang, related compiler bug fixes, efficiency improvements, and optimisations, and some light packaging work where needed

-Accept, analyze, and respond to bug reports against tools packages in your area of responsibility

-Plan and track development and periodically report progress to team management.

-  Own the product development from scratch.

- Architect scalable, distributed and large-scale web and mobile solutions from scratch.

- Code for fresh development and to troubleshoot and resolve issues.

- Writing reusable, testable, and efficient code.

- Creating database schemas that represent and support business processes.

- Design and implementation of low-latency, high-availability, and performant applications.

- Able to learn & implement new technology/framework/library at God Speed.

- Customer-focused, react well to changes, work with teams and be able to multitask.

- Experience and knowledge of open-source tools and frameworks, broader cutting edge technologies around server side development. 

Desired Candidate Profile:-

- 1+ years of experience in open source compiler or tools development

- 1+ years of experience with the Go language, runtime and tools

- Experience with or exposure to the Linux kernel is helpful

- Bachelor's degree or higher in computer science, computer engineering, or a technology-related discipline

The following requirements are a plus:

-Experience with C/C++ toolchains and debuggers

-Advanced knowledge of Go language, compiler, library, runtime, and debug internals

-Practical experience developing Go tools for enterprise use

-Direct experience with Go tools community participation

-Knowledge of and experience with system tools internals (e.g. compilers, debug formats)

-Proficiency in multiple programming languages, both dynamic(Javascript, Python, Ruby, etc.) and strongly typed object-oriented language.

-Implementing automated testing platforms and unit tests.

-Must be a proven performer and team player that enjoys challenging assignments in a high energy, fast growing and start-up workplace.

-Good communication and interpersonal skills

Rejolut - As a Career Differentiator

 - We are a young and dynamic team who are obsessed with solving futuristic and evolutionary business problems at scale with the next generation technology like blockchain, crypto and machine learning. Focuses on empowering people across the globe to be technically efficient, making advancements in technology and providing new capabilities that were previously thought impossible.

- We provide exposure to higher learning opportunities so that you can work on complex and cutting edge technology like React, React Native, Flutter, NodeJS, Python, Go, Svelte, WebAssembly. Strong expertise in  blockchain and crypto technology and working with the networks like Hedera Hashgraph, Tezos, BlockApps, Algorand, Cardano.

- We maintain high end transparency with clients and employees as Visibility unlocks Efficiency and trust unlocks Visibility.

- Company is backed by two technology Co-founders, well-versed with consumer applications and their work has been downloaded millions of times and have led teams in leadership positions in companies like Samsung, Purplle, Loylty Rewardz.

Benefits :

> Health Insurance

> Work from Home

> Fast growth and more visibility into the company

> Experience to work on the latest technology

> Competitive Learning Environment with supportive co-workers

> Employee friendly HR Policies

> Paid leaves up to certain limits

> Competitive salaries & Bonuses

> Liberal working atmosphere

> Get mentored by the best in the industry

Schedule:

Day Shift/Flexible working hours

Monday to Friday

An opportunity to revolutionize the restaurant industry

Here, at Rebel Foods, we are using technology and automation to disrupt the traditional food industry. We are focused on building an operating system for Cloud Kitchens - using the most innovative technologies - to provide the best food experiences for our customers. 

You will enjoy working with us, if:

• You are passionate about using technology to solve customer problems
• You are a software craftsman or craftswoman who is obsessed with high quality software
• You have a flair for good design and architecture
• You are unafraid of rearchitecting or refactoring code to improve it
• You are willing to dive deep to solve complex software issues
• You are a teacher and mentor

Our technology ecosystem:

• Languages: Java, Typescript, Javascript, Ruby
• Frameworks, environments: Spring Boot, NodeJS, ExpressJS
• Databases: AWS Aurora MySQL, MongoDB
• Cloud: AWS
• Microservices, Service Oriented Architecture, REST APIs, Caching, Messaging, Logging, Monitoring and Alerting
• CI/CD and DevOps
• Bitbucket, Jira

You will mostly spend time on the following:

• Leading the design and implementation of software systems
• Driving engineering initiatives across teams with a focus on quality, maintainability, availability, scalability, security, performance and stability
• Writing efficient, maintainable, scalable, high quality code
• Reviewing code and tests
• Refactoring and improving code
• Teaching and mentoring team members

We’re excited about you if you have:

• At least 8 years of experience in software development, including experience building microservices and distributed systems
• Excellent programming skills in one or more languages: Java, C#, C++, Typescript, Javascript, Python or Ruby
• Experience working in Cloud environments: AWS, Azure, GCP
• Experience building secure, configurable, observable services
• Excellent troubleshooting and problem-solving skills
• The ability to work in an Agile environment
• The ability to collaborate effectively within and across engineering, product and business teams

We value engineers who are:

• Crazy about customer experience
• Willing to challenge the status quo and innovate
• Obsessed with quality, performance and frugality
• Willing to take complete responsibility and ownership of results
• Team players, teachers, mentors

Requirements:

• 3 -7 years of software development experience.
• Good grasp on programming fundamentals including OOP, Design Patterns and Data Structures.
• Excellent analytical, logical and problem-solving skills.
• Software Development Engineer.
• Good understanding of complexities involved in designing/developing large scale systems.
• Strong system design skills.
• Experience in technologies like Elasticsearch, Redis, Kafka etc.
• Good knowledge of relational and NoSQL databases.
• Familiarity with common machine learning algorithms. In-depth knowledge is a plus.
• Experience of working with big data technologies like Hadoop, Spark, Hive is a big plus.
• Ability to understand business requirements and take ownership of the work.
• Exhibit passion and enthusiasm for building and maintaining large scale platforms.