
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.

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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
- 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
- Collaborate with product, engineering, and DevOps teams to deliver production-ready solutions
- 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
- 10+ years of professional systems programming experience in Rust, C, or C++ (5+ years production Rust)
- 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)
- Strong understanding of exchange mechanics — order types, price-time priority matching, spot trading, derivatives (futures/perpetuals), options, margining and liquidation concepts
- Strong experience building production-grade, low-latency, high-throughput backend applications
- Solid understanding of distributed systems and concurrent programming — Raft/consensus, replication, snapshots, deterministic state machines, exactly-once semantics
- Advanced concurrency: lock-free/wait-free structures, ring buffers, thread-per-core design, core pinning
- Strong understanding of networking concepts — TCP/IP, UDP, multicast, real-time communication, asynchronous networking
- Experience designing and implementing binary communication protocols for inter-service communication (SBE, Protocol Buffers, FlatBuffers, Cap'n Proto)
- Experience with microservices architecture and event-driven systems - Experience with messaging systems such as Aeron, Kafka, NATS, or similar high-performance platforms
- Strong understanding of in-memory data structures and efficient memory management — cache lines, memory ordering, NUMA, allocation-free design
- Experience working with relational databases and caching systems
- Experience working in Linux-based production environments
- Familiarity with containerization and modern deployment practices
- 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
- Tokio, Tonic (gRPC), Serde, Tracing, Criterion, Cargo/Clippy/Rustfmt - Aeron, LMAX Disruptor, Chronicle, or FIX engines
- Kernel-bypass networking concepts (io_uring, DPDK, AF_XDP); hardware timestamping
- Lock-free or wait-free programming techniques
- Options pricing / Greeks / volatility surface exposure
Preferred Qualifications
- Experience designing highly available and fault-tolerant systems (active-active, consensus-based failover)
- Deterministic simulation / property-based testing of stateful systems
- Exposure to cloud infrastructure and production monitoring tools
- Open-source contributions (openraft, TigerBeetle, tokio, etc.) or personal Rust systems projects
Selection Process
- 3 Rounds of Technical Interview
- 1 Round of Management Interview
- Shortlisting based on work evidence (repo/PR/design doc/write-up of a hard problem solved)
- Systems design deep-dive (order book / matching engine design), hands-on coding round, distributed systems round
We are hiring high-caliber engineers with 3+ years of experience to build low-latency, high-throughput trading infrastructure in Rust, working directly under senior systems architects. This is a hands-on coding role on performance-critical systems — you will write, test, and ship the core code.
Responsibilities
- Develop and maintain high-performance backend services in Rust under the guidance of senior engineers
- Implement components of distributed, fault-tolerant systems handling high transaction volumes
- Write extensive unit, property-based, and simulation tests for correctness-critical code - Profile and optimize code for latency, throughput, and memory efficiency - Participate in design discussions and rigorous code reviews
- Debug and resolve issues in Linux-based production environments
Required Qualifications
- B.Tech/M.Tech in Computer Science from an IIT or NIT (mandatory) - 3+ years of professional software development experience in Rust, C++, or Java/Go with systems-level work; strong Rust proficiency or demonstrated ability to attain it fast - Understanding of financial markets and trading systems — order books, order types, matching concepts, spot and derivatives (futures/options) basics; hands-on experience with trading, broking, or market data systems is a strong plus - Excellent computer science fundamentals — data structures, algorithms, operating systems, networking, concurrency
- Solid grasp of multithreading and memory management; exposure to performance profiling and benchmarking
- Understanding of distributed systems concepts — replication, consistency, message queues (Kafka/NATS or similar)
- Experience with Linux, Git, and modern development workflows
- Strong problem-solving ability and hunger to work on hard systems problems
Preferred
- Competitive programming background (Codeforces/ICPC/CodeChef ratings welcome on the CV)
- Personal or open-source Rust projects
- Exposure to low-latency techniques — lock-free structures, zero-allocation design, binary protocols (SBE/Protobuf/FlatBuffers)
- NISM certifications, trading experience (personal F&O/options trading counts), or coursework in financial engineering
- Exposure to consensus algorithms (Raft), event sourcing, or deterministic testing
Growth Path
You will be mentored directly by senior systems engineers with deep exchange-infrastructure experience, with a defined progression to senior engineer ownership of subsystems within 18–24 months. This team is being built as a center of excellence in low-latency systems engineering in India.
Selection Process
- Resume shortlisting (college + evidence of strong engineering: projects, CP ratings, internships)
- Online DSA + systems assessment
- Live coding round (Rust/C++, performance-oriented problem)
- Systems and trading-concepts discussion round
- Culture and ownership round with the senior engineer you will report to
Compensation: top of market for the experience band, benchmarked against product companies, not services.
Position Title: Senior Rust Developer
Location: Gurugram
Employment Type: Full-time
Job Summary: We are seeking a highly skilled Rust Developer with 5 Years of experience in software development and 3 to 4 Years of professional experience with Rust. As a Rust Developer, you will be responsible for developing, maintaining, and improving software written in Rust. This role involves collaborating with other developers to create high-quality and stable software, as well as troubleshooting and resolving bugs.
Key Responsibilities:
Software Development and Maintenance:
- Develop software solutions using Rust.
- Maintain and improve existing Rust codebases.
Collaboration:
- Work closely with other developers to create high-quality software.
- Participate in code reviews and contribute to team knowledge sharing.
Troubleshooting and Bug Resolution:
- Identify, troubleshoot, and resolve bugs in Rust applications.
- Perform root cause analysis and implement corrective actions.
Qualifications:
Education:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience:
Total Experience: 5 Years in software development.
Relevant Experience: 3 to 4 Years of professional experience with Rust.
Technical Skills:
- Proficiency in the Rust programming language.
- Experience with object-oriented programming.
- Familiarity with Rust development tools and frameworks.
- Strong problem-solving skills.
Soft Skills:
- Ability to work independently and as part of a team.
- Excellent communication skills for effective collaboration and knowledge sharing.
Preferred Qualifications:
- Experience with systems programming, concurrent programming, or low-level programming.
- Knowledge of other programming languages and paradigms.
- Familiarity with version control systems like Git.
Location: Mumbai, Maharashtra, India
Sector: Technology, Information & Media
Company Size: 500 - 1,000 Employees
Employment: Full-Time, Permanent
Experience: 10 - 14 Years (Engineering Leadership)
Level: Engineering Manager / Group EM
ABOUT THIS MANDATE :
Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.
This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.
We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.
THE OPPORTUNITY AT A GLANCE :
AI-First Engineering Culture :
- Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.
Hands-On Engineering Leadership :
- Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.
People & Org Builder :
- Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.
KEY RESPONSIBILITIES :
1. Hands-On Technical Engagement :
- Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
- Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
- Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
- Identify and resolve systemic technical debt and architectural risks across team-owned services
- Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
- Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability
2. AI Adoption, Integration & Transformation (2026 Mandate) :
- Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
- Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
- Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
- Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
- Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
- Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
- Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
- Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications
3. People Leadership & Team Development :
- Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
- Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
- Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
- Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
- Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
- Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
- Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering
4. Engineering Delivery & Execution Excellence :
- Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
- Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
- Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
- Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
- Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
- Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership
5. Strategic Leadership & Cross-Functional Influence :
- Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
- Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
- Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
- Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
- Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
- Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use
AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :
In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :
AI Developer Productivity
- Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.
LLM & GenAI Product Features
- Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.
AI-Augmented Observability
- Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.
Team AI Fluency :
- Build mandatory AI literacy across all engineering levels.
- Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.
Responsible AI Governance :
- Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.
TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :
- Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
- Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
- AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
- Copilot: Cursor /Hugging Face
- Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
- Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
- Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
- MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
- Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
- CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)
QUALIFICATIONS & CANDIDATE PROFILE :
Education :
- B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
- Demonstrated engineering depth and leadership impact may complement institution pedigree
Experience :
- 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
- Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
- Hands-on backend engineering background must be able to read, write, and critique production code
- Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
- Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
- Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
- Demonstrated career stability minimum of 2 years of average tenure per organisation.
The Ideal Engineering Manager in 2026 :
- Leads with context, not control, empowers engineers while maintaining accountability and quality
- Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
- Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
- Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
- Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
- Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
- Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites
WHY THIS ROLE STANDS APART :
AI Transformation at Scale :
- Lead one of the most significant AI adoption programmes in India's digital media sector.
- Our decisions will shape how hundreds of engineers work in 2026 and beyond.
Hands-On & Strategic Balance :
- A rare EM role that actively encourages technical depth.
- Stay close to the code while owning the people agenda - the best of both worlds.
Established Platform, Real Scale :
- 5001,000 engineers, proven product-market fit, and the org maturity to execute.
- This is not a greenfield startup gamble it is a serious company with serious ambition.
Clear Leadership Growth Path :
- A visible, direct path toward Director / VP of Engineering.
- Senior leadership is invested in growing its next generation of technology executives.
Job Description:
Required Skills
- Experience-4+ years
- Strong backend engineering fundamentals.
- Good understanding of system design concepts for scalable and reliable applications.
- Hands-on experience with at least one backend language such as Golang, Node.js, Java, Rust, Python, or similar.
- Strong understanding of REST APIs, service design, authentication, authorization, and API security.
- Good knowledge of database design, indexing, query optimisation, transactions, and data consistency.
- Experience with SQL databases such as PostgreSQL, MySQL, or similar.
- Understanding of NoSQL databases, caching systems, and when to use them.
- Experience working with Redis or similar caching technologies.
- Understanding of message queues, event-driven architecture, asynchronous processing, and background jobs.
- Ability to reason about memory management, garbage collection, concurrency, and runtime behaviour.
- Experience debugging performance issues in backend systems.
- Good understanding of high TPS systems, load testing, horizontal scaling, and bottleneck analysis.
- Familiarity with containerisation using Docker.
- Working understanding of Kubernetes-based deployments, preferably EKS.
- Understanding of CI/CD pipelines and cloud deployment practices.
- Good communication skills and ability to explain technical decisions clearly.
Good to Have Skills
- Experience with microservices architecture.
- Experience with AWS services, especially EKS, RDS, SQS, CloudWatch, ElastiCache, API Gateway, or Lambda.
- Understanding observability tools such as Prometheus, Grafana, Loki, Tempo, Open Telemetry, or similar.
- Experience with distributed tracing and production monitoring.
- Experience with event streaming platforms such as Kafka.
- Knowledge of security best practices around JWT, OAuth2, RBAC, secrets management, and secure API design.
- Experience designing systems for high availability and fault tolerance.
- Exposure to infrastructure-as-code tools such as Terraform or CloudFormation.
- Experience mentoring junior engineers or reviewing technical designs.
AI Engineer — Vertexcover Labs
Who We Are
Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with fast-growing, funded startups around the world—Rephrase.ai, Dhiwise, Dunzo, Dubdub, Xapo, Arintra etc.—to crack their toughest engineering problems. Everyone is an individual contributor; no management layers. Engineers choose the projects they work on, see each project's P&L, and share directly in the profits.
Whether it's building multi-agent systems for production, scaling ML pipelines across GPU clusters, or shipping RAG-powered products that end-users rely on—we solve hard AI problems for real companies.
A Few Problems We Are Currently Working On
- AI Agents Test-authoring agents that convert natural language into e2e tests.
- Ad-performance agents that learn what works for your brand and generate winning creatives automatically.
- Scale + MLOps Optimise ML pipelines and fix autoscaling by applying queuing theory while juggling CPU / GPU memory contention.
- RAG & Knowledge Systems Design and deploy retrieval-augmented generation pipelines—chunking strategies, embedding models, reranking, and evaluation loops.
- AI Video & Image Processing Build rendering pipelines, diffusion-model integrations, and real-time video processing at scale. You'll own at least one project like these—design, build, iterate.
Signals You're Probably the Right Fit
- Strong in at least one other language (Python, Go, Rust, TypeScript, Java …); happy to learn more.
- First principle understanding of how LLMs, embeddings, vector databases and AI Agents work
- Evidence of shipping real AI-powered software—OSS, side projects, or production features.
- Comfortable navigating the fast-moving AI landscape—papers, new model releases, evolving APIs.
- Clear written & spoken communication; async collaboration is our default.
- Self-directed—you ask for context, not permission.
How We Operate
- Project choice. Engineers vote on which engagements we take.
- Stack agnostic. We pick tools that fit the job, not the résumé.
- Pragmatic craftsmanship. Durable design, no gold-plating.
- Transparent economics. Know what your work is worth, share in the profits.
- Remote-native. Async by default; sync when it helps.
Hiring Process (Lean & Human)
- 2–3 technical deep-dives with future teammates.
- 30-minute culture chat.
- Offer. No LeetCode marathons, no trick puzzles.
We read every application and reply to all candidates.
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.
Antier, a leading brand in Crypto Assets Management, is looking for a Golang Developer capable of writing custom blockchains and have good knowledge of C++ or Rust / Golang.
Antier – a leading blockchain development company – harnesses the power of blockchain and other technologies like distributed ledger and smart contracts to build scalable, asset agnostic applications such as white label exchange platforms (centralized, decentralized and P2P), smart wallets, ICO, STO, tokens and other enterprise blockchain solutions development. Our experts follow design thinking-driven approach to identify blockchain use cases and create intelligent strategies around the same to accelerate your deployments. Together, we are decentralizing the world by combining our deep domain expertise and rich experience to deliver blockchain solutions at enterprise scale.
Experience: 1-4 years
Required Skills:
- Able to write programs with a compiled language (C/C++, Go, or Rust)
- Must have knowledge of SQL Database programming.
- Degree or equivalent in Software Engineering.
- Problem-solving skills.
- Excited to learn and develop blockchain technology (No experience yet? No problem!)
- Possess a strong sense of ownership in your work, which drives you to find ways to do things better and faster.
- Always up-to-speed on the latest technologies.
- Constantly on the lookout for new and innovative ways to solve complex problems through rigorous experimentation.
- Your communication style is open, transparent, and direct, and you consistently work in tight collaboration with your teammates.
- Always open to feedback, new ideas, and opportunities for self-improvement.
- Ability to work independently as well as collaborate with a small team of developers on various work streams and guide them on development tasks, perform code reviews and ensure design and coding are adhering to architectural standards.
We harness the potential of varied Blockchain platforms to deliver innovative enterprise grade blockchain solutions that make a difference. Get a chance to explore a completely new environment of working.
Why us?
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.
What are we looking for?
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.
Responsibilities:
- 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.
Desired Skills and Experience:
- 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.
If you have:
- 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
Persona of the kind of people who would be a culture fit:
- 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
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.







