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.

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.

Review Criteria

Strong Backend Developer with Rust knowledge

·       3+ YOE as a Software Engineer

·       Expert level knowledge in Rust or Realtime experience in Rust

Role & Responsibilities

·       You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly

·       You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs

·       Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production

·       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

• CV Attachment is mandatory
• How many years of rust coding experience you have?
• Do you code in rust daily?
• Have you shipped application to production in rust?
• 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?
• Please share Github link in resume
• How much is your CGPA in graduation?
• Reason for job change?
• Provide a brief about the Candidate Background and Work Experience (Minimum 50 Words).Highlight achievement any extraordinary work they have done apart from regular BAU.
• This role is remote for now, but will require relocation to Dubai for WFO after a few months. Are you okay with this? -

Role & Responsibilities

• You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly
• You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs
• Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production
• 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.

Experience Required: 3 - 7 years

Working Days: 5 days/week

Role & Responsibilities

• You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly
• You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs
• Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production
• 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

Job Title: Cybersecurity Agent Developer

Location: Bengaluru, India

Experience: 7+ Years

Employment Type: Full-time

About the Role:

We are seeking a highly skilled Cybersecurity Agent Developer with deep expertise in C/C++ and Golang or Rust to build and optimize high-performance security agents for Windows, Linux, and macOS platforms. This role requires a strong background in low-level system programming, performance tuning, and security-centric design to ensure effective monitoring, threat detection, and system protection across diverse environments.

Key Responsibilities:

• Design, develop, and maintain cross-platform endpoint security agents.
• Optimize agent performance to ensure minimal system overhead and real-time responsiveness.
• Implement system-level hooks and monitoring components including:
• Process monitoring
• File system and network activity tracking
• System telemetry collection
• Work with kernel-level APIs and frameworks, such as:
• ETW, WFP, WMI, MiniFilter (Windows)
• eBPF, auditd, fanotify, netfilter (Linux)
• EndpointSecurity framework, XPC, System Extensions (macOS)
• Build robust, secure inter-process communication (IPC) and data serialization mechanisms.
• Integrate agents with cloud-based security platforms via REST APIs, gRPC, and TLS.
• Collaborate with internal teams (threat intelligence, detection, response) to evolve agent capabilities.
• Perform in-depth debugging, profiling, and optimization using industry-standard tools.

Required Skills & Experience:

Core Programming:

• Strong proficiency in C/C++ and either Golang or Rust
• Solid experience in multi-threaded and asynchronous programming

Platform Expertise:

• Proven experience developing for Windows, Linux, and macOS
• Deep knowledge of system-level programming, including:
• Windows: WinAPI, ETW, WFP, WMI, MiniFilter
• Linux: eBPF, auditd, fanotify, netfilter
• macOS: EndpointSecurity framework, XPC, System Extensions

Security & Networking:

• Understanding of secure IPC, TLS, gRPC, and secure coding practices
• Familiarity with system hardening and secure memory management

Debugging & Optimization Tools:

• Proficient in using tools like GDB, LLDB, Valgrind, Perf, Wireshark, Sysinternals Suite

Version Control:

• Strong experience with Git (GitHub, GitLab)

Preferred Qualifications:

• Experience with cybersecurity frameworks like MITRE ATT&CK, Sysmon, YARA, Suricata
• Hands-on exposure to kernel/driver development
• Familiarity with EDR/XDR, sandboxing, and SIEM integrations
• Understanding of malware analysis and threat detection techniques
• Exposure to container security and cloud-native security agent development

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! 

We at Wow Labz are always striving to look for exciting problems to solve. Whether we’re creating new products or helping a small startup extend its reach, we build from our heart. We’re entrepreneurial and we love new ideas. Fun culture with a team that cares about your development and growth.

You will be a part of Wow Labz’s core development team, building new software and defining standards for our very own blockchain product. You will be involved in defining technical specifications, implementing design patterns and hands-on development. You will be writing modules that all the other developers would use, including libraries, APIs, database/ storage connections and third party integrations. Your diligence and patience to build highly-secured, scalable and high-performance solutions will be most valued.

• Understanding Rust design patterns and writing performant and maintainable code in the language
• Solving development challenges and making architectural decisions by understanding the larger picture of the project’s goals.
• Expanding your existing skill-set, and picking up on various rust dependent frameworks.
• Writing code that other developers use, including libraries, APIs and configurations.
• Building secure and high-performance networked applications.
• Paying close attention to unit-testing and security.
• Confidently communicating and collaborating with your fellow developers in a remote team environment.

• 1-2 year of core Rust development experience
• 2 or more years of software development experience
• Strong understanding of macros, traits, generics and lifetimes
• Experience with Cargo, including dependency management
• Experience with frameworks like HyperWeb, Mio, Tokio, Rocket and Actix (at least two)
• Experience using the Git Version Control System (VCS)
• Experience with CI tools like Rustfmt, Clippy or Rustfix
• Experience writing Unit Tests using Rustfmt or similar 
• Exposure to performance benchmarking
• Exposure to serverless products like AWS Lambda, Azure Functions, Cloudflare Workers 
• Motivated by challenging projects, and you absolutely love developing with Rust.
• Developed multi-threaded software and understand the asynchronous functionalities.

• Experience with blockchain and/or Substrate is a plus
• Experience in Mongodb, MySQL, or Javascript is a plus
• Experience with cloud platforms like AWS/ Azure/GCP is a plus
• Software architecture and API design knowledge is a plus

• Curious and aware of the latest digital and social media trends
• Extremely self-driven and able to execute in a diligent manner
• Strong relationship-building skills
• Exceptional analytical reasoning, problem-solving, and creative thinking skills
• Team player that thrives in a collaborative environment
• You can work cross-functionally and collaborative on common goals
• Fluent in English, written and spoken
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork

• 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.)