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Senior Rust Developer
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Senior Rust Developer

Akshay Patil's profile picture
Posted by Akshay Patil
3 - 8 yrs
₹5L - ₹15L / yr
Gurugram
Skills
skill iconRust

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.
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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About NeoGenCode Technologies Pvt Ltd

Founded :
2023
Type :
Services
Size
Stage :
Raised funding

About

Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.

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Candid answers by the company

What does the company do?
What is the location preference of jobs?

IT & Engineering Talent Staffing

  • Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
  • Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
  • Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.

2. End-to-End Project Delivery

  • Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
  • Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .

3. Additional Offerings

  • Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
  • Provides strategic IT consulting to align technology solutions with business objectives


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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 :

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Established Platform, Real Scale :

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  • 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.


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Job Title : Rust Tech Lead/Senior Rust Developer

Experience : 5+ Years

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Employment Type : Full-Time


Role Summary :

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·       Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs

·       Developing software in Rust

·       Maintaining and improving existing rust codebases.

 

Ideal Candidate

·       Excited about working with Rust

·       4 -7 years of experience in shipping production applications

·       B.Tech in Computer Science Engineering from Tier 1 Colleges only

·       Entrepreneurial mindset with strong decision-making skills

·       Ability to move quickly without breaking things too much (we are dreamers)

·       Ability to work under immense pressure which is balanced by a sense of responsibility and ownership


Job Specific Criteria

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  • How many years of rust coding experience you have?
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  • Are you well versed with tokio, webassembly, leptos and actix?
  • Have you contributed in Open source, or articles, patent, given tech presentations, or made an outstanding tech contribution apart from day to day work?
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Debugging & Optimization Tools:

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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 



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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.


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• 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.


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• 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).

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• 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.


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• 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.

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The tech stack looks like the below (expect this to change as we scale):

  1. Typescript for APIs (REST and GraphQL)
  2. Kafka, Spark, and data warehouses for ML pipelines (spark on python/scala)
  3. Solidity + hardhat for smart contracts (in the future, rust, go and move)
  4. AWS & Terraform
  5. Full nodes

You can expect to do some or all of the following:

  1. Read through protocols’ whitepapers and smart contracts to derive metrics and analyze risks
  2. Architect the backend for APIs, async jobs, and blockchain integration
  3. Build clean, concise APIs for customer integration, along with the documentation
  4. Setup, run and maintain full and archive nodes across different chains
  5. Integrate with multiple partners like exchanges and custody providers
  6. Fool-proof security across the stack - encryption, hashing, privacy, VPC, etc.
  7. Infrastructure as code - build terraform scripts and ensure easy replication of the infra across different regions
  8. Research the top DeFi protocols to uncover better insights for our customers and evaluate their risk profiles, security, and historical returns
  9. Manage production deployments, logging, and monitoring

We expect you to be fairly comfortable with working with both web3 and web2 stacks. We do not expect that you have web3 experience on day 1, but you should be willing to wear multiple hats, learn things quickly and move fast.

About you

  1. Generalist, a solid engineer who can learn things on your own and have an eye for clean, tested, and well-documented code
  2. We don’t look at the number of years of work experience as a criterion, but rather see what you have done in your life so far (side projects, open-source contributions, blogs, etc.). We don’t care about degrees, the institutions you went to, or the companies you worked for before. We are open to talking as long as you have good judgment, great clarity, align with our values and have a strong track record of thoughtful work
  3. Understand the fundamentals of building and integrating APIs and secure systems. Bonus if you know a bit about blockchains and protocols
  4. You can be strong on the backend, front-end, or can dabble everywhere. We want you to play to your strengths and will provide enough opportunities to learn and do things outside of your comfort zone

Pay and benefits We offer a solid, competitive package (including early-stage equity) that is location agnostic. We give you the flexibility to choose the split between cash and equity.

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A Computer Software related company (AD1)
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  • 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.)
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
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