Backend Developer (Rust, Startups),

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.

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.

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.

About the Role

At Ceryneian, we’re building a next-generation, research-driven algorithmic trading platform aimed at democratizing access to hedge fund-grade financial analytics. Headquartered in California, Ceryneian is a fintech innovation company dedicated to empowering traders with sophisticated yet accessible tools for quantitative research, strategy development, and execution.

Our flagship platform is currently under development. As a Backend Engineer, you will play a foundational role in designing and building the core trading engine and research infrastructure from the ground up. Your work will focus on developing performance-critical components that power backtesting, real-time strategy execution, and seamless integration with brokers and data providers. You’ll be responsible for bridging core engine logic with Python-based strategy interfaces, supporting a modular system architecture for isolated and scalable strategy execution, and building robust abstractions for data handling and API interactions. This role is central to delivering the reliability, flexibility, and performance that our users will rely on in fast-moving financial markets.

We are a remote-first team and are open to hiring exceptional candidates globally.

Core Tasks

·      Build and maintain the trading engine core for execution, backtesting, and event logging.

·      Develop isolated strategy execution runners to support multi-user, multi-strategy environments.

·      Implement abstraction layers for brokers and market data feeds to offer a unified API experience.

·      Bridge the core engine language with Python strategies using gRPC, ZeroMQ, or similar interop technologies.

·      Implement logic to parse and execute JSON-based strategy DSL from the strategy builder.

·      Design compute-optimized components for multi-asset workflows and scalable backtesting.

·      Capture real-time state, performance metrics, and slippage for both live and simulated runs.

·      Collaborate with infrastructure engineers to support high-availability deployments.

Top Technical Competencies

·      Proficiency in distributed systems, concurrency, and system design.

·      Strong backend/server-side development skills using C++, Rust, C#, Erlang, or Python.

·      Deep understanding of data structures and algorithms with a focus on low-latency performance.

·      Experience with event-driven and messaging-based architectures (e.g., ZeroMQ, Redis Streams).

·      Familiarity with Linux-based environments and system-level performance tuning.

Bonus Competencies

·      Understanding of financial markets, asset classes, and algorithmic trading strategies.

·      3–5 years of prior Backend experience.

·      Hands-on experience with backtesting frameworks or financial market simulators.

·      Experience with sandboxed execution environments or paper trading platforms.

·      Advanced knowledge of multithreading, memory optimization, or compiler construction.

·      Educational background from Tier-I or Tier-II institutions with strong computer science fundamentals, a passion for scalable system design, and a drive to build cutting-edge fintech infrastructure.

What We Offer

·      Opportunity to shape the backend architecture of a next-gen fintech startup.

·      A collaborative, technically driven culture.

·      Competitive compensation with performance-based bonuses.

·      Flexible working hours and a remote-friendly environment for candidates across the globe.

·      Exposure to financial modeling, trading infrastructure, and real-time applications.

·      Collaboration with a world-class team from Pomona, UCLA, Harvey Mudd, and Claremont McKenna.

Ideal Candidate

You’re a backend-first thinker who’s obsessed with reliability, latency, and architectural flexibility. You enjoy building scalable systems that transform complex strategy logic into high-performance, real-time trading actions. You think in microseconds, architect for fault tolerance, and build APIs designed for developer extensibility.

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

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.

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.

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.

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! 

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.