Rust Developer

Position Title : Senior Rust Developer

Location : Gurugram

Employment Type : Full-time (6 days/week)

Experience :

• Minimum 5 years of professional software development experience.
• At least 3 years of dedicated experience working with Rust.

Technical Skills :

• Strong proficiency in Rust.
• Solid understanding of object-oriented programming concepts.
• Familiarity with Rust development tools, libraries, and frameworks.

Position Title: Senior Rust Developer

Location: Gurugram

Employment Type: Full-time

Job Summary: We are seeking a highly skilled Rust Developer with 5 Years of experience in software development and 3 to 4 Years of professional experience with Rust. As a Rust Developer, you will be responsible for developing, maintaining, and improving software written in Rust. This role involves collaborating with other developers to create high-quality and stable software, as well as troubleshooting and resolving bugs.

Key Responsibilities:

Software Development and Maintenance:

• Develop software solutions using Rust.
• Maintain and improve existing Rust codebases.

Collaboration:

• Work closely with other developers to create high-quality software.
• Participate in code reviews and contribute to team knowledge sharing.

Troubleshooting and Bug Resolution:

• Identify, troubleshoot, and resolve bugs in Rust applications.
• Perform root cause analysis and implement corrective actions.

Qualifications:

Education:

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

Experience:

Total Experience: 5 Years in software development.

Relevant Experience: 3 to 4 Years of professional experience with Rust.

Technical Skills:

• Proficiency in the Rust programming language.
• Experience with object-oriented programming.
• Familiarity with Rust development tools and frameworks.
• Strong problem-solving skills.

Soft Skills:

• Ability to work independently and as part of a team.
• Excellent communication skills for effective collaboration and knowledge sharing.

Preferred Qualifications:

• Experience with systems programming, concurrent programming, or low-level programming.
• Knowledge of other programming languages and paradigms.
• Familiarity with version control systems like Git.

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.

Summary: 

You will play a crucial role in designing, implementing, and optimizing smart contracts and zero-knowledge proof (ZK) circuits using Solidity and Rust programming languages. You will work closely with our development team to build scalable and secure blockchain solutions that leverage zero-knowledge proofs for privacy and scalability enhancements. 

It is an amazing opportunity to work on cutting edge fintech Key 

Responsibilities:

• Design, develop, and deploy smart contracts on Ethereum and other blockchain platforms using Solidity. 
• Implement zero-knowledge proof circuits and protocols in Rust for privacy-preserving and scalable blockchain applications. 
• Collaborate with the research team to explore and implement cutting-edge cryptographic techniques for zero-knowledge proofs. 
• Optimize smart contracts and zero-knowledge proof circuits for performance, scalability, and security. 
• Conduct code reviews and provide constructive feedback to ensure the quality and robustness of the codebase. 
• Stay updated with the latest advancements in blockchain technology, zero-knowledge proofs, and decentralized finance (DeFi). 
• Work closely with cross-functional teams including software engineers, and product managers to deliver high-quality blockchain solutions. 
• Contribute to the development of technical documentation, including specifications, architecture diagrams, and developer guides.

Context for the Candidates:

Blockchain engineers are tasked with building secure, scalable, and high-performance decentralized applications. This discussion focuses on how to utilize key technologies—Node.js, Rust, Go, TypeScript, Ethers.js, viem, and Hardhat—in smart contract and blockchain system development, while addressing the practical challenges that arise in such projects.

Key Discussion Points:

• How do you integrate Node.js, Rust, Go, and TypeScript in blockchain-backed applications?

• Discuss the trade-offs between using Rust or Go for performance-critical blockchain services.

• What are the key challenges in ensuring the security and scalability of smart contracts using tools like Ethers.js, viem, and Hardhat?

• How do you approach testing, debugging, and deploying smart contracts in a decentralized environment?

• Share best practices for gas optimization, contract upgradability, and backend scalability.

Evaluation Criteria:

1. Technical Knowledge:

• Strong knowledge of Node.js, Rust, Go, and TypeScript with practical experience in blockchain development.

• Proficiency in Ethers.js, viem, Hardhat, and smart contract lifecycle (development, testing, deployment).

• Understanding of security best practices, performance optimizations, and scalability in decentralized systems.

2. Problem-Solving and Integration Skills:

• How candidates approach integrating smart contract solutions with backend services using Node.js, Rust, Go, and TypeScript.

• Solutions proposed for common challenges in blockchain projects such as gas fees, security vulnerabilities, and system bottlenecks.

3. Experience and Expertise:

• Minimum of 2 years of IT experience, including hands-on development with the specified technologies.

• Practical knowledge of blockchain architecture, consensus mechanisms, and decentralized application deployment.

4. Innovation and Critical Thinking:

• Candidates’ ability to think creatively about system architecture, proposing scalable and secure solutions for blockchain-based applications.

• Discussion on the future potential of blockchain technology and how the tech stack can evolve.

5. Communication and Team Collaboration:

• Clear articulation of technical challenges and how to address them in a team setting.

• Ability to lead or contribute to discussions in a way that encourages collaboration and team-driven problem-solving.

We are looking for a Rust Developer to join our cutting-edge development team as it grows. The candidate must be comfortable working in an agile environment and can take the lead when necessary.

Responsibilities:

• Responsible for developing the product as per the product specification defined by the product managers
• Responsible for performing research on the best methods of implementing the requirements
• Author and curate technical documentation to support delivery, maintenance, and adoption
• Work with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise governance strategies to optimise the overall performance
• Design and develop automated deployment and maintenance mechanisms
• Solving development challenges and making architectural decisions by understanding the larger picture of the project goals
• Expanding your existing skill set, and picking up on various rust-dependent frameworks
• Confidently communicating and collaborating with your fellow developers in an office set-up.

Requirements:

• Must have experience in Rust programming language
• Have excellent knowledge of different data structures and algorithms
• Working knowledge of any other programming language Python, Java, or JavaScript is good to have
• Experience with, or understanding of, Kafka or Redis, Cloud infrastructure services, and Docker is an added advantage
• Experience with SQL or NoSQL databases, MySQL, MongoDB, Elasticsearch, etc.
• Experience in Backend and APIs development
• Experience in analysing and optimising the platform's performance

Have you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses. 

Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.

What you get to do in this role:

Work on extremely high scale RUST web services or backend systems.

Design and develop solutions for highly scalable web and backend systems.

Proactively identify and solve performance issues.

Maintain a high bar on code quality and unit testing.

What you bring to the role:

5+ years of hands-on software development experience.

At least 2+ years of RUST development experience.

Knowledge of cargo packages for kafka, redis etc.

Strong CS fundamentals, including system design, data structures and algorithms.

Expertise in backend and web services development.

Good analytical and troubleshooting skills.

What will help you stand out:

Experience working with large scale web services and applications.

Exposure to Golang, Scala or Java

Exposure to Big data systems like Kafka, Spark, Hadoop etc.

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.  

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! 

• Write a significant amount of code for new and existing databases and related systems
• Scale and own these backend systems and databases
• Ship high-quality code and architecture
• Mentor engineers on the team, developing their skills and helping advance their careers
• Work with the founders to flesh out the future of the product
• Help shape the future of our engineering organization

Requirements

• A passion for working on deeply technical projects and wanting to work on distributed systems, concurrency & parallelism, replication protocols, file systems & correctness
• You have been building applications for 5+ years with C/C++ or Rust and have significant backend, database, or systems-level programming experience
• You have a BS/MS/Ph.D. in a scientific field or equivalent experience
• You want to work in a fast-paced, high-growth startup environment that respects its engineers and customers
• You are comfortable working with a 100% distributed engineering team, collaborating on GitHub, Slack, Zoom, etc. in the open and as a self-starter

Bonus points:

• Experience working on databases or other storage systems internals
• Experience with Apache Arrow, Apache Parquet
• Know how columnar databases work
• Know how to convert an algorithm to use SIMD instructions
• Good knowledge of Linux internals
• You’ve contributed to open-source libraries and actively participate in the development community (blogging, giving talks, meetups, tweeting, etc.)

Job Description:

• Programming and optimizing rust / wasm based smart contracts
• Design, research and develop blockchain-based solutions
• Developing decentralized high-performance systems
• Building reliable and fast data storages
• Working with virtual machines used by modern blockchains: WebAssembly, EVM, COSMWASM
• Implementing consensus algorithms and other protocols
• Security audits of third-party and internal solutions
• Establishing policies and procedures that produce secure, high-quality software
• Write and review technical proposals
• Improve engineering standards, tooling, and processes
• Coding with concurrency, efficiency and scalability as primary motive
• Document systems, build runbooks, and automate those processes
• Being hands on by writing, testing, and deploying high-performance networking code
• Rigor on clean code, unit testing, code coverage and best practices
• Developing infrastructure software
• Supporting and Leading the team of junior developers.

Required qualifications:

3+ years experience in developing smart contracts, 2.5+ years of experience in Rust, willingness to learn on the go, ability to write clean code, a strong sense of responsibility.

Tech Stack:

Rust, cargo, git, linux, bash, ability to work with Docker.

Nice to have:

cryptography and system software development experience,understanding of design patterns, understanding of operating systems and networks, ability to design algorithms and mathematical models.