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Strong Product UI heavy Designer Profile
Mandatory (Experience 1): Must have a minimum of 2+ years of design experience, with a strong focus on UI-intensive work
Mandatory (Experience 2): Must have hands-on experience delivering end-to-end designs independently from wireframes and user flows through to final Figma handoff
Mandatory (Experience 3): Must have experience with delivering both web and mobile designs
Mandatory (Tools): Must have strong working proficiency in Figma, Adobe, Photoshop etc
Mandatory (Skill): Must have solid experience creating wireframes, prototypes, user flows, sitemaps, and process flows for web and mobile responsive platforms
Mandatory (Portfolio): Portfolio should be UI-heavy, with clear evidence of high-fidelity designs, visual craftsmanship, and end-to-end screen design
Mandatory (Company Type): Product companies or if candidate form services/design consultancies with worked on B2B SaaS projects/clients
Mandatory (Education): Formal design degree - B.Des, M.Des, or related fields (mass communication, visual arts, fine arts)
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.
Mission
Own architecture across web + backend, ship reliably, and establish patterns the team can scale on.
Responsibilities
- Lead system architecture for Next.js (web) and FastAPI (backend); own code quality, reviews, and release cadence.
- Build and maintain the web app (marketing, auth, dashboard) and a shared TS SDK (@revilo/contracts, @revilo/sdk).
- Integrate Stripe, Maps, analytics; enforce accessibility and performance baselines.
- Define CI/CD (GitHub Actions), containerization (Docker), env/promotions (staging → prod).
- Partner with Mobile and AI engineers on API/tool schemas and developer experience.
Requirements
- 6–10+ years; expert TypeScript, strong Python.
- Next.js (App Router), TanStack Query, shadcn/ui; FastAPI, Postgres, pydantic/SQLModel.
- Auth (OTP/JWT/OAuth), payments, caching, pagination, API versioning.
- Practical CI/CD and observability (logs/metrics/traces).
Nice-to-haves
- OpenAPI typegen (Zod), feature flags, background jobs/queues, Vercel/EAS.
Key Outcomes (ongoing)
- Stable architecture with typed contracts; <2% crash/error on web, p95 API latency in budget, reliable weekly releases.
Responsibilities
- Our Site reliability engineers work on improving the availability, scalability, performance, and reliability of enterprise production services for our products as well as our customer’s data lake environments.
- You will use your expertise to improve the reliability and performance of Hadoop Data lake clusters and data management services. Just as our products, our SRE are expected to be platform and vendor-agnostic when it comes to implementing, stabilizing, and tuning Hadoop ecosystems.
- You’d be required to provide implementation guidance, best practices framework, and technical thought leadership to our customers for their Hadoop Data lake implementation and migration initiatives.
- You need to be 100% hand-on and as a required test, monitor, administer, and operate multiple Data lake clusters across data centers.
- Troubleshoot issues across the entire stack - hardware, software, application, and network.
- Dive into problems with an eye to both immediate remediations as well as the follow-through changes and automation that will prevent future occurrences.
- Must demonstrate exceptional troubleshooting and strong architectural skills and clearly and effectively describe this in both a verbal and written format.
Requirements
- Customer-focused, Self-driven, and Motivated with a strong work ethic and a passion for problem-solving.
- 4+ years of designing, implementing, tuning, and managing services in a distributed, enterprise-scale on-premise and public/private cloud environment.
- Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.
- Hadoop cluster design, Implementation, management and performance tuning experience with HDFS, YARN,
- HIVE/IMPALA, SPARK, Kerberos and related Hadoop technologies are a must.
- Must have strong SQL/HQL query troubleshooting and tuning skills on Hive/HBase.
- Must have a strong capacity planning experience for Hadoop ecosystems/data lakes.
- Good to have hands-on experience with – KAFKA, RANGER/SENTRY, NiFi, Ambari, Cloudera Manager, and HBASE.
- Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.
Senior Software Engineer
MUST HAVE:
POWER BI with PLSQL
experience: 5+ YEARS
cost: 18 LPA
WHF- HYBRID
• Experience developing Multi Channel responsive web application.
• experience working with Windows, Unix/Linux Operating system environments.
• Familiarity with common stacks.
• Experience/Knowledge of multiple front - end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery).
• Excellent communication and teamwork skills.
• Willingness to travel within India or aboard for short term or long term would an added advantage.
Proficiency in the standard Android tech stack - JAVA/Kotlin
Good knowledge of design patterns, MVVM, Dependency Injection and more
Restful API, JSON Parsing, Retrofit Network Libraries
Strong knowledge of Android UI design principles, patterns, and best practices
Experience with offline storage, threading, and performance tuning
Excellent Android technical issue diagnosis and problem solving skills
GOOD TO HAVE
Hilt
Coroutine
Clean architecture
Excellent knowledge of UI animation and transition

We are building a workspace for Marketing teams - Think Webflow for Marketing teams, Grafana for Marketing teams who operate on large data sets and need a clear intuitive interface to look at all their data.
Traditionally Marketing teams have always had to depend on a large BI team to provide them with the data they need to make decisions. Clarisights eliminates this by giving Marketing teams everything they need in one intuitive, collaborative reporting platform.
We work with large enterprise Marketing teams around the world like Delivery Hero - The world's largest food delivery co., HelloFresh the world's largest mealkits delivery co. etc.
Our platform is central to how business teams make decisions and you will work on the interface that these teams use. We are helping non technical business users get comfortable with data by giving them a platform they can use to drive.
What makes this role challenging? Think Google Docs, Slides and Sheets all combined in one platform. We have a collaborative text editor which is used by teams together and we built our table grid which is extremely powerful. Tables, being one of the heaviest and most used widgets we have, have records composed of metric data(averages, share percentages, comparison data), multiple creatives(images, videos, gifs), trends(charts inside each cell) and a lot more.
The huge amount of data points naturally increases the amount of DOM nodes and thus it becomes memory heavy and CPU intensive to run the app in the browser. One table can have 500 records that the users can scroll through at once. Now imagine having 10+ of such tables in one tab, and each report comprising of multiple tabs. And we also support features like drilldowns/breakdowns, column freezing, row freezing, in the tables all while ensuring a smooth user experience.
We decided to build it from scratch using React Virtualize since most table libraries did not give us the performance or features we need. We also extensively use charts to visualize data and as we are scaling, a lot of these components have to be rebuilt to handle the volume of data we process.
We are only getting started, we want to make our platform a lot more collaborative and immersive by giving teams ability to interact with charts by adding annotations and ability to tag team members and leave notes for them. This might seem a solved problem when you look at collaboration on Google Docs but it's an extremely tricky problem for us as we don't deal with static data the way you have it with Google Docs.
Unlike read only dashboards which do not allow edits after building, our platform is meant for collaboration within teams. Think of how shitty collaboration was for design teams before Figma.
What we are looking for?
We are looking for someone who obsesses over performance and is comfortable with profiling performance, can think of frontend architecture. We are also looking for a lead who can mentor the team on performance and scale.
While working with such complex interfaces, often times, performance and the tech becomes a bottleneck for the user experience we strive for. We are looking for someone who —
- Understands fundamentals of Application Design and has designed/architected applications from scratch.
- Has worked on large-scale applications, and setup/maintained its data pipelines (data flows from backend to frontend)
- Has architected efficient and reusable front-end systems that drive complex web applications
Preferable Qualifications
- 3+ years of JavaScript experience, including concepts like asynchronous programming, closures, types.
- HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility
- Experience with browser APIs and optimizing frontend performance
- Previous experience with dashboard apps, charts framework, window virtualisation
- Has written Generators for project setup
- Comfortable with tech like Postgres, Docker, Rails
- Understands tooling like Webpack, Babel
Experience with React and Typescript is preferable but not necessary.
First 30 days, one will work on
- Understanding the data flow and familiarise oneself with the app components
- One feature/task like updating something that touches majority of the app — this is again aimed to get familiarity with the whole codebase in the quickest way
- Synchronising the data pipelines by adopting better serialisation protocols
- Creating avenues to improve app performance (by profiling and benchmarking)
- Java / Java Script code development using frameworks like Spring, Hibernate , Rest web services, AWS services.
- · Dev-Ops activities using Maven, Eclipse and other tools
- · Contribute to providing estimates for implementation of new requirements and work diligently towards delivering within the estimates
- · Ensure Quality of the releases by adhering to SDLC best-practices such as, unit tests,continuous integration, system testing
- · Re-use code. Ensure delivered code is modular and extensible
- · Ensure adequate coverage of functional and non-functional requirements in test plans Position Requirements
- · 3-5+ years of hands on experience in Java/J2EE development. Experience with the implementation of a distributed, enterprise JAVA/J2EE solution is strongly preferred
- · Experience in JAVA/J2EE Frameworks such as Spring, hibernate is strongly preferred
- · Experience in SOA and SOA related technologies, solutions and products as well as experience with implementation of REST full web services is preferred
- · Experience with data modelling and experience with relational databases like MySQL, SQL Server or Oracle is desirable
- · Mobile application development experience on Android or iOS is desirable
Good to Have : experience in Machine learning and AI










