Senior Rust Developer

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.

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript.
• Build high-performance microservices and APIs for AI-driven products.
• Develop fault-tolerant, secure, and maintainable distributed systems.
• Design event-driven architectures and asynchronous processing pipelines.
• Implement caching, message queues, and database optimization strategies.

AI & Machine Learning Integration

• Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents.
• Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
• Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
• Build AI workflows for content generation, summarization, sentiment analysis, and conversational intelligence.
• Optimize AI inference pipelines for performance and cost efficiency.

System Architecture

• Design scalable architectures capable of handling high traffic and large volumes of data.
• Develop real-time processing systems and data pipelines.
• Implement observability, monitoring, logging, and alerting mechanisms.
• Drive performance tuning and latency optimization across services.

Cloud & DevOps

• Deploy and manage applications on AWS, GCP, or Azure.
• Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Ensure system reliability, security, and scalability. 

Job Title: Software Developer

Location: Remote

About Us: CipherSonic Labs is a cutting-edge technology company specializing in data security and privacy solutions for enterprises processing sensitive data in the cloud. We develop high-performance cryptographic software and hardware acceleration techniques to enable secure computing. Our team is looking for talented individuals to contribute to innovative projects in secure computing and high-performance software development.

Job Description: We are seeking a Software Developer to assist in the development of high-performance software solutions. This role will involve working on low-level programming, optimizing cryptographic algorithms, and improving performance for security-critical applications. The ideal candidate will have a passion for systems programming, algorithm optimization, and working in a high-performance computing environment.

Key Responsibilities:

·     Develop and optimize software using C/C++ for high-performance computing applications.

·     Work on cryptographic algorithm implementations and performance tuning.

·     Optimize memory management, threading, and parallel computing techniques.

·     Debug, profile, and test software for performance and reliability.

·     Write clean, efficient, and well-documented code.

Qualifications:

·     Completed a B.S. or higher degree in Computer Science, Computer Engineering.

·     Strong programming skills in C and C++.

·     Familiarity with Linux-based development environments.

·     Basic understanding of cryptographic algorithms and security principles is a plus.

·     Experience with AWS Lambda, EC2, S3, DynamoDB, API Gateway, Containerization (like Docker, Kubernetes) is a plus.

·     Knowledge of other programming languages such as Python, Rust, or Go is a plus.

·     Strong problem-solving skills and attention to detail.

·     Ability to work independently and collaboratively in a fast-paced startup environment.

What You’ll Gain:

·     Hands-on experience in systems programming, cryptography, and high-performance computing.

·     Opportunities to work on real-world security and privacy-focused projects.

·     Mentorship from experienced software engineers and researchers.

·     Exposure to cutting-edge cryptographic acceleration and secure computing techniques.

·     Potential for future full-time employment based on performance.

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)

1. 2–3 technical deep-dives with future teammates.
2. 30-minute culture chat.
3. Offer. No LeetCode marathons, no trick puzzles.

We read every application and reply to all candidates.

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.

Do you have what it takes?

·      Proficient in C, C++ development, OS concepts, Data Structures, Distributed computing, and Algorithms.

·      Actively engaged in projects related to architecture and design (architecture, design patterns, reliability, and scaling).

·      Excellent problem-solving capability with strong fundamentals in Computer Science.

·      Highly proficient in data structures and algorithms.

·      Ability to pick up new technologies rapidly to convert specifications to low level design.

·      Ability to clearly communicate the intent and approach when producing a code design document.

How can you contribute to our success?

·      Develop frontend as well as backend components for delivering product on cloud platforms.

·      Participate in activities that lead up to the code design. This may include activities such as developing prototypes, proof of concept, compare pros and cons of various implementation choices being considered and recommending the most appropriate one.

·      Mentor and influence junior developers to adhere to good coding standards and become quality conscious.

·      Review critical pieces of code that are developed as per this code design.

·      Ensure that the code being delivered is of the highest quality.

·      Ensure appropriate unit tests and functional as well as non-functional tests are considered.

·      Conceptualize and work towards building processes, methodology, and tools to improve team’s ability to deliver high quality software. 

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: 

1. Able to write programs with a compiled language (C/C++, Go, or Rust)
2. Must have knowledge of SQL Database programming.
3. Degree or equivalent in Software Engineering.
4. Problem-solving skills.
5. Excited to learn and develop blockchain technology (No experience yet? No problem!)
6. Possess a strong sense of ownership in your work, which drives you to find ways to do things better and faster.
7. Always up-to-speed on the latest technologies.
8. Constantly on the lookout for new and innovative ways to solve complex problems through rigorous experimentation.
9. Your communication style is open, transparent, and direct, and you consistently work in tight collaboration with your teammates.
10. Always open to feedback, new ideas, and opportunities for self-improvement.
11. 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.