Rust Developer

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.

Job Title : Rust Tech Lead/Senior Rust Developer

Experience : 5+ Years

Relevant Experience in Rust : 3+ Years

Location : Gurugram

Employment Type : Full-Time

Role Summary :

• We are looking for a Rust Tech Lead/Senior Rust Developer with 5+ Years of software development experience, including 3 to 4 Years of expertise in Rust.
• In this role, you will lead a team of developers, guide technical decisions, and ensure the development of robust Rust applications.

Key Responsibilities :

• Lead and mentor a team of Rust developers.
• Develop and maintain high-quality Rust code.
• Collaborate with cross-functional teams to ensure software stability.
• Troubleshoot and resolve issues in Rust applications.

Qualifications :

• 5+ Years in Software Development.
• 3 to 4 Years of professional Rust experience.
• Strong problem-solving skills and experience in team leadership.

Preferred Skills :

• Systems programming and concurrent programming experience.
• Familiarity with Git and other version control systems.

We are looking for a Senior Systems Engineer with 10+ years of experience in systems-level engineering (Rust/C/C++), including 5+ years of production Rust, to design and build high-performance, low-latency, fault-tolerant trading infrastructure. Prior hands-on experience with financial trading systems is mandatory.

Responsibilities

1. Design, develop, and maintain high-performance backend services using Rust - Build scalable and reliable distributed systems capable of handling high request volumes - Optimize application performance, memory usage, and resource utilization - Design clean, maintainable, and well-tested software architecture
2. Collaborate with product, engineering, and DevOps teams to deliver production-ready solutions
3. Participate in architecture discussions, code reviews, and technical planning - Troubleshoot production issues and improve system reliability and observability - Write clean, well-documented, production-quality code following engineering best practices

Required Qualifications

1. 10+ years of professional systems programming experience in Rust, C, or C++ (5+ years production Rust)
2. Mandatory: hands-on experience with financial trading systems — exchanges, order books, matching engines, OMS/RMS, or market data systems (equities, F&O, FX, commodities, or crypto)
3. Strong understanding of exchange mechanics — order types, price-time priority matching, spot trading, derivatives (futures/perpetuals), options, margining and liquidation concepts
4. Strong experience building production-grade, low-latency, high-throughput backend applications
5. Solid understanding of distributed systems and concurrent programming — Raft/consensus, replication, snapshots, deterministic state machines, exactly-once semantics
6. Advanced concurrency: lock-free/wait-free structures, ring buffers, thread-per-core design, core pinning
7. Strong understanding of networking concepts — TCP/IP, UDP, multicast, real-time communication, asynchronous networking
8. Experience designing and implementing binary communication protocols for inter-service communication (SBE, Protocol Buffers, FlatBuffers, Cap'n Proto)
9. Experience with microservices architecture and event-driven systems - Experience with messaging systems such as Aeron, Kafka, NATS, or similar high-performance platforms
10. Strong understanding of in-memory data structures and efficient memory management — cache lines, memory ordering, NUMA, allocation-free design
11. Experience working with relational databases and caching systems
12. Experience working in Linux-based production environments
13. Familiarity with containerization and modern deployment practices
14. Strong debugging, profiling, and benchmarking skills (perf, flamegraphs, Criterion) - Excellent problem-solving and analytical abilities; ability to work independently and take ownership of technical deliverables

Preferred Technical Experience

1. Tokio, Tonic (gRPC), Serde, Tracing, Criterion, Cargo/Clippy/Rustfmt - Aeron, LMAX Disruptor, Chronicle, or FIX engines
2. Kernel-bypass networking concepts (io_uring, DPDK, AF_XDP); hardware timestamping
3. Lock-free or wait-free programming techniques
4. Options pricing / Greeks / volatility surface exposure

Preferred Qualifications

1. Experience designing highly available and fault-tolerant systems (active-active, consensus-based failover)
2. Deterministic simulation / property-based testing of stateful systems
3. Exposure to cloud infrastructure and production monitoring tools
4. Open-source contributions (openraft, TigerBeetle, tokio, etc.) or personal Rust systems projects

Selection Process

1. 3 Rounds of Technical Interview
2. 1 Round of Management Interview
3. Shortlisting based on work evidence (repo/PR/design doc/write-up of a hard problem solved)
4. Systems design deep-dive (order book / matching engine design), hands-on coding round, distributed systems round

We are looking for a Senior Systems Engineer with 10+ years of experience in systems-level engineering (Rust/C/C++), including 5+ years of production Rust, to design and build high-performance, low-latency, fault-tolerant trading infrastructure. Prior hands-on experience with financial trading systems is mandatory.

Responsibilities

1. Design, develop, and maintain high-performance backend services using Rust - Build scalable and reliable distributed systems capable of handling high request volumes - Optimize application performance, memory usage, and resource utilization - Design clean, maintainable, and well-tested software architecture
2. Collaborate with product, engineering, and DevOps teams to deliver production-ready solutions
3. Participate in architecture discussions, code reviews, and technical planning - Troubleshoot production issues and improve system reliability and observability - Write clean, well-documented, production-quality code following engineering best practices

Required Qualifications

1. 10+ years of professional systems programming experience in Rust, C, or C++ (5+ years production Rust)
2. Mandatory: hands-on experience with financial trading systems — exchanges, order books, matching engines, OMS/RMS, or market data systems (equities, F&O, FX, commodities, or crypto)
3. Strong understanding of exchange mechanics — order types, price-time priority matching, spot trading, derivatives (futures/perpetuals), options, margining and liquidation concepts
4. Strong experience building production-grade, low-latency, high-throughput backend applications
5. Solid understanding of distributed systems and concurrent programming — Raft/consensus, replication, snapshots, deterministic state machines, exactly-once semantics
6. Advanced concurrency: lock-free/wait-free structures, ring buffers, thread-per-core design, core pinning
7. Strong understanding of networking concepts — TCP/IP, UDP, multicast, real-time communication, asynchronous networking
8. Experience designing and implementing binary communication protocols for inter-service communication (SBE, Protocol Buffers, FlatBuffers, Cap'n Proto)
9. Experience with microservices architecture and event-driven systems - Experience with messaging systems such as Aeron, Kafka, NATS, or similar high-performance platforms
10. Strong understanding of in-memory data structures and efficient memory management — cache lines, memory ordering, NUMA, allocation-free design
11. Experience working with relational databases and caching systems
12. Experience working in Linux-based production environments
13. Familiarity with containerization and modern deployment practices
14. Strong debugging, profiling, and benchmarking skills (perf, flamegraphs, Criterion) - Excellent problem-solving and analytical abilities; ability to work independently and take ownership of technical deliverables

Preferred Technical Experience

1. Tokio, Tonic (gRPC), Serde, Tracing, Criterion, Cargo/Clippy/Rustfmt - Aeron, LMAX Disruptor, Chronicle, or FIX engines
2. Kernel-bypass networking concepts (io_uring, DPDK, AF_XDP); hardware timestamping
3. Lock-free or wait-free programming techniques
4. Options pricing / Greeks / volatility surface exposure

Preferred Qualifications

1. Experience designing highly available and fault-tolerant systems (active-active, consensus-based failover)
2. Deterministic simulation / property-based testing of stateful systems
3. Exposure to cloud infrastructure and production monitoring tools
4. Open-source contributions (openraft, TigerBeetle, tokio, etc.) or personal Rust systems projects

Selection Process

1. 3 Rounds of Technical Interview
2. 1 Round of Management Interview
3. Shortlisting based on work evidence (repo/PR/design doc/write-up of a hard problem solved)
4. Systems design deep-dive (order book / matching engine design), hands-on coding round, distributed systems round

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.

Software Engineer, Low-Latency Systems

• Employment Type: Full-time
• Experience Level: senior-level (7–10 years)

About the Role

We are hiring a Software Engineer, Low-Latency Systems to design and optimize the core infrastructure powering our algorithmic trading systems. In this role, you will work on latency-critical execution paths where nanoseconds, cache lines, memory layout, and network behavior matter.

This is a hands-on engineering position for someone who enjoys building high-performance systems and reasoning deeply about correctness, throughput, and tail latency. Prior trading domain experience is helpful but not required—we value engineering depth and systems thinking above all else.

What You’ll Do (Responsibilities)

• Build Core Infrastructure: Design, develop, and maintain low-latency components including order routing, market data handling, and execution pipelines.
• Optimize Performance: Profile and optimize critical code paths to minimize throughput and tail latency.
• Collaborate Across Teams: Work closely with quant and trading teams to translate complex strategy requirements into highly efficient infrastructure primitives.
• Drive System Design: Contribute to architectural decisions around threading models, memory layout, and network stack configurations.
• Ensure Reliability: Improve observability and operational performance across trading infrastructure. Participate in on-call rotations, incident response, and post-mortems to keep systems running smoothly.

What We’re Looking For (Requirements)

• Experience: 7 to 10 years of professional experience in systems engineering, with a demonstrable focus on low-latency systems or high-performance computing (HPC).
• Language Proficiency: Strong, production-level proficiency in Rust and/or C++.
• Systems Depth: Comfort reasoning about memory management, lock-free data structures, compiler behavior, and CPU-level performance.
• Tooling: Experience using Linux performance tooling such as perf, flamegraphs, strace, or similar tools.
• Networking Fundamentals: Solid understanding of network stack behavior, including TCP, UDP, multicast, and kernel bypass.
• Problem Solving: Ability to debug complex production issues and optimize systems under real-world constraints.

Nice to Have (Bonus Points)

• Prior exposure to trading systems, market data feeds, or exchange connectivity.
• Familiarity with financial market protocols (e.g., FIX, ITCH, OUCH).
• Experience with low-latency networking technologies like DPDK, RDMA, or kernel bypass.
• Familiarity with co-location environments and latency-sensitive infrastructure.

Culture & Fit

We are looking for an engineer who takes ownership, thrives in ambiguous and fast-moving environments, and holds an incredibly high bar for correctness and performance. If you love drilling down into the lowest levels of software to squeeze out maximum efficiency, we want to hear from you.

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

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.

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!