Job Description & Responsibilities: 

Interactive Brokers Software Service India ("IBSSI") is looking for Software Developers with a Java concentration and experience working in Unix/Linux environments to help improve our customer-facing trading applications and back-end systems.

If you are proficient in developing front-end systems or corresponding back-end services for them, have solid programming experience, love the challenge of developing complex real-time solutions, and enjoy working in a dynamic environment with a strong team, then Interactive Brokers may be just the place for you. This job is heavily oriented toward designing, building, and optimizing trading and back-office applications. 

Minimum Expectations

• MCA/BE/BTech/MTech/ME degree in Computer Science or related technical field from a reputed institution.
• 2+ years of relevant work experience, including large systems software development experience or client application development.
• Experience programming in Java and Oracle.
• Strong analytical and problem-solving skills.
• Sound Knowledge of SQL, relational databases, and other data storage solutions
• Experience working in Unix/Linux environments.
• Experience in PL/SQL.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Research and develop technology solutions to extend and improve IBKR's Reference Database Systems.
• To immediately start designing, implementing, and loading Oracle-based data systems using Java/Python.
• Excellent communication skills and ability to collaborate effectively with cross-functional teams

Preferred Skills:

• MCA/BE/BTech/MTech/ME degree in Computer science or equivalent work experience.
• 2+ years of relevant work experience, including programming Web and/or Non-Web Java Applications and Oracle/MySql databases.
• 1+ years of work experience in the Financial Services space (Brokerage / Capital markets / Investment Banking /Financial services).
• Proficiency in Programming languages such as Java and Python with a strong emphasis on performance optimization
• Proficient in one or more scripting languages like Unix Shell and experienced in the Linux operating system.
• Proficient in PERL scripting language.
• Experience in developing scalable applications using Kafka.
• Good to have REST-based web services.
• Strong problem-solving skills and the ability to troubleshoot complex technical issues in a Production environment
• Experience working with GIT and Jenkins.

Company Benefits & Perks: 

• Competitive salary package.
• Performance-based annual bonus (cash and stocks).
• Hybrid Working Model (3 days office/week)
• Group Medical & Life Insurance.
• Modern offices with free amenities & fully stocked cafeterias.
• Monthly food card & company-paid snacks.
• Hardship/shift allowance with company-provided pickup & drop facility*
• Attractive employee referral bonus.
• Frequent company-sponsored team-building events and outings.

* Depending upon the shifts.
**The benefits package is subject to change at the management's discretion.

Technical Operations Specialist (TOPS) 

Interactive Brokers Group has consistently been at the forefront of trading innovation, starting with the invention of the first floor-based handheld computer in 1983. We pride ourselves on being primarily a technology company and challenging the status quo. We push boundaries to offer our clients the best trading platform with the most sophisticated features at the lowest cost. Software development is the lifeblood of our firm, and it shows in our stellar brokerage platform. 

Interactive Brokers is seeking to set up a new branch of our Global Technical Operations (TOPS) team in our Mumbai office. You'll be part of an international team, but uniquely, you will be part of the first TOPS team in Mumbai, so you will have the opportunity to grow with our team and service model in India. While located in India, you will cover our global locations as part of our "follow the sun" operational model. 

To offer the finest online trading experience in the world, Interactive Brokers must monitor, maintain and support (with vigilance) our software, systems, and other crucial business technology around the clock and across the globe. Interactive Brokers maintains a small team of cross-trained and exceptionally responsible individuals who are not bound to one specific skill or discipline and value working under the direction of industry experts to resolve complex issues with technology, hardware and software components. 

Are you passionate about technology? Then apply today! 

Your Responsibilities 

• Monitor various aspects of the Interactive Brokers global brokerage system in real time. 
• Analyze, troubleshoot, escalate and resolve brokerage system operational issues. 
• Participate in Post-Incident review in collaboration with architecture and infrastructure teams. 
• Provide 2nd-level technical support to internal teams. 
• Monitor Batch Job Scheduler and troubleshoot failed or delayed jobs. 
• Analyze existing business workflows and participate in developing new monitoring tools and automated process monitoring. 
• As part of the team, act as the primary escalation point for all brokerage system technical issues. 

Key Requirements 

• Strong communication skills, with English as the primary language. 
• A Bachelor's or apprenticeship in a technical discipline. 
• A working knowledge of general computing concepts, networking, the Linux operating system and related technologies. 
• The ability to analyze and solve problems promptly and accurately in a fast-paced environment. 

Preferred 

• Prior experience in a technology position 
• Experience with Unix / Linux style command line interfaces 
• Previous experience with scripting languages (e.g., Shell, Perl, Python) 
• Desire to explore and learn new concepts, systems and technologies. 

Company Benefits & Perks: 

• Competitive salary package.
• Performance-based annual bonus (cash and stocks).
• Hybrid working model (3 days office/week).
• Group Medical & Life Insurance.
• Modern offices with free amenities & fully stocked cafeterias.
• Monthly food card & company-paid snacks.
• Hardship/shift allowance with company-provided pickup & drop facility*
• Attractive employee referral bonus.
• Frequent company-sponsored team-building events and outings

* Depending upon the shifts.

**The benefits package is subject to change at the management's discretion.

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram  near an airport that will enable them to easily visit customer sites in APAC.

This role can be based remotely in Bengaluru, Mumbai or Gurugram.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426250

So, what’s the role all about?

NICE, the market leader in cloud-based contact center technology, is looking for an experienced Solution Consultant to excite potential customers about its extensive portfolio and aid them in ultimately becoming a NICE customer.  A successful Solution Consultant will work consultatively with prospects to identify their goals and business drivers, and creatively design a solution that will meet the ever-growing demands of their contact center needs. This position will provide dedicated sales support to the Enterprise, BPO and SMB sales teams by exceeding the below expectations.

How will you make an impact?  

• Proactively identifying and addressing our customer's technical needs and objections to drive new sales, and existing account expansion.
• Actively learning and mastering the NICE software portfolio at an intermediate level, in order to creatively apply our technology to help our customers achieve their business goals.
• Critically evaluating the technical sustainability of each new sales opportunity or Request for Proposal, ensuring that our contractual obligations to each new customer are accurate, and can be delivered in a timely manner.
• Helping facilitate a smooth transition from pre-sales to implementation by providing adequate knowledge transfer regarding the scope and requirements of the project, ensuring a seamless onboarding experience.
• Protecting NICE from projects where technical challenges outweigh the value of a technically problematic opportunity, and long-term partnership.
• Assisting our Sales team through preparation and delivery of business discussions, technical presentations, and product demonstrations, by carefully mapping customer business requirements to effective value driven technical solutions leveraging the NICE software portfolio.
• Proactively identifying customer needs through a technical benefits assessment, carefully building the business value of the solution, in order to assist with overcoming potential objections to proposed technical solutions.
• Meeting with our prospective customers as a trusted technical advisor, developing a deep understanding of their current environment, key business challenges and goals, and helping prospective customers envision the benefits that can be realized through an advanced contact center deployment with NICE.
• Gathering valuable field data and product feedback from each customer engagement and working directly with Product Management to facilitate ideas for the long-term technical direction and development of NICE’s software portfolio.
• Providing an open and continuous knowledge transfer to the overall Sales Team and newly hired SEs, highlighting the technical aspects and benefits of our solution, and how to competitively position each product.
• Delivering partner enablement activities, ranging from ad-hoc updates to extended knowledge transfer sessions.
• Building and maintaining demo environments both for internal NICE usage and for our partners.
• Assisting in the preparation and response to customer RFP requests, carefully qualifying the prospective deal for technical feasibility.
• Scoping and building proofs of concept for prospective customers that require a hands-on experience of NICE products, to confirm the required performance of the solution within their environment.
• Developing detailed solution design documentation for each new customer, which will serve as the foundation of our technical engagement, and act as a bridge to seamlessly engage our Professional Services Organization, to provide the most effective onboarding experience.
• Continuously building and maintaining relationships with key stakeholders in each sales cycle, including executive, financial, technical decision makers and influencers within each of our prospects.

Have you got what it takes?  

• Bachelor’s degree in computer science, IT/Business Information Systems, Communications or related field or equivalent work experience required.
• Strong background & experience in AI /GenAI-powered Virtual Agent, Agent Assist, Agentic AI, Knowledge Management
• Good knowledge of CCaaS- Omni-channel/digital, Proactive, ACD/Dialer, IVR, CRM capabilities & use-cases
• Good Knowledge of contact center operations & applications- Workforce Engagement Management (Recording, Quality & Performance Management, Workforce Management), Interaction Analytics & Automation (RPA), Voice of the Customer (VoC)
• Basic knowledge of IP telephony, SIP trunk, WebRTC
• Basic knowledge of cloud security
• Exceptional written and verbal communication skills
• Excellent interpersonal skills with the ability to effectively listen to quickly assess the situation and then convey thoughts and ideas in a clear and concise manner.
• Strong presentation skills – must possess the ability to sell and effectively build credibility in front of all levels of management, including an executive audience.
• Analytical and quantitative abilities required – Must be able to interpret and explain financial and statistical information.
• Min 12+ years of Pre- sales experience
• Ability to manage multiple competing priorities and work effectively under the pressure of time constraints in a fast-paced, collaborative environment
• Experience with programming or scripting languages such as Java script or Python, and including use of REST APIs.
• Detail-oriented, but able to digest the critical elements of a situation to withstand being hyper-focused on the minutia.
• Ability to multi-task in a challenging environment while maintaining a high level of ownership and responsiveness.

What’s in it for you?  

• Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!  

Enjoy NiCE-FLEX!   

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.  

Requisition ID: 10493
Reporting into: Director, Portfolio Solution Engineering
Role Type: Individual Contributor  

Hudson River Trading (HRT) is seeking a Finance Associate to join our Accounting team in Mumbai. This role will support various accounting functions across the company such as fund accounting, management reporting, tax reporting and analysis, trading P&L reconciliation, and financial statement preparation. 

The ideal candidate for this role is a Chartered Accountant (CA) with a background in financial services and a desire to leverage their strong understanding of Indian GAAP (IndAS) and SEBI regulation in our Mumbai office.  

Responsibilities

• Perform daily P&L, cash, and position reconciliations, including overseeing commission accruals and payments utilizing a vendor-based clearing system
• Perform month-end closing procedures, including financial statement preparation, cash and position reconciliations, entering income/expense accruals, and preparing capital allocation schedules
• Test and utilize automated tools for monthly and on-the-fly reconciliation and profit reports, including utilizing Unix commands, SQL queries, and running scripts in Python
• Assist with external audits, including preparation of financial statements and footnotes under Indian GAAP
• Collaborate with our Tax team to provide information and data necessary to complete various tax return filings, and assist in preparing filings 
• Perform cash and collateral management functions, including submitting various bank opening documents, rebalancing cash accounts, updating cash flow projection, monthly bank reconciliations, and capital fund inflow registration
• Preparation of net worth certificate, financial statements, and directors’ report submissions at bi-annual/annual intervals to the Securities Exchange Board of India (SEBI)
• Prepare other ad hoc reporting as required by SEBI, banks, and exchanges
• Assist in the infusion and repatriation of capital
• Assist in the creation and design of automated reports requested by management
• Work with relational databases and set up reports using simple SQL queries

Qualifications

• Chartered Accountant (CA)
• Bachelor's degree in accounting and an excellent understanding of Indian GAAP
• Understanding of US GAAP is a plus
• 3 - 5 years of experience in accounting with an entity regulated by SEBI
• Strong Excel skills, VBA/SQL experience preferred
• Big 4 or large international firm experience a plus
• Excellent cross-functional communications skills, including fluency in English
• Meticulously detail-oriented
• Strong time management and organizational skills, with the ability to multi-task
• Willingness to travel periodically to HRT’s NYC office for training
• Ability to take calls during US business hours, arranged in advance, as needed

 Your Role:

The Senior Security Consultant brings advanced expertise in the design, implementation, and optimization of Tenable’s Exposure Management solutions. The role involves leveraging Tenable technologies and applying deep industry knowledge and strategic insight to help organizations effectively manage and significantly reduce cyber risks. The role will be responsible for crafting and delivering sophisticated, tailored solutions that address vulnerabilities across a client’s entire attack surface. The Senior Consultant will also mentor junior consultants/contractors and contribute to the development of best practices, utilizing extensive experience to drive the success of client engagements. Additionally, the role will further refine your skills across the complete Tenable portfolio through advanced hands-on experience, strategic shadowing, and high-level enablement initiatives provided by the Professional Services Organization.
Your Opportunity:

• Develop a deep understanding of the client’s business and unique security needs to deliver tailored engagements that exceed expectations.
• Build and maintain positive relationships with clients, ensuring ongoing satisfaction and partnership.
• Provide clients with continual insights and consultative advice based on experience with Tenable products, their industry, established standards, and best practices.
• Provide expert guidance in designing, installing, configuring, and optimizing Tenable solutions, ensuring seamless integration with client's business and security objectives.
• Lead upgrades and migrations, ensuring optimized performance with minimal disruption to operations.
• Advise on best practices to streamline and enhance security workflows through Tenable solution optimization.
• Support clients in developing, refining, and maintaining security policies and procedures, ensuring alignment with industry standards and regulatory requirements for optimal performance.
• Provide ongoing value through insights and consultative advice on Tenable products, tailored to client needs and industry best practices.
• Share thought leadership on effective deployment and utilization of Tenable One solutions.
• Guide clients in implementing best practices and developing Exposure Management Programs.
• Assess user needs and customer requirements to advance the maturity of their Exposure Management program
• Deliver additional value through continual insights and consultative advice based on Tenable products, client needs, industry standards, and best practices.
• Provide thought leadership on methods and best practices for deploying and using Tenable One solutions.
• Advise clients on process best practices and assist in developing Exposure Management Programs.
• Research user needs and assess customer requirements to enhance the maturity of their Exposure Management program.
• Ensure overall customer satisfaction while supporting delivery revenue objectives.
• Execute large customer engagements, understanding client business and unique needs to exceed expectations.
• Independently manage client escalations on assigned projects, coordinating with the delivery team and other Tenable departments as needed.
• Develop and maintain positive client relationships and train client staff on the implementation, configuration, and best practices of the Tenable suite.
• Support pre- and post-sale business development activities, including needs analysis, and assist the Services Account Management Team in identifying further revenue opportunities.
• Collaborate with PS Portfolio, Principal Consultancy and Professional Services Domain Specialists to improve service offerings and product enhancements.
• Perform other duties as assigned to support the success of the Professional Services team and the overall organisation.

What You'll Need:

• 8+ years of experience in the Information Technology/Cyber Security field and professional services experience.
• Bachelor’s degree in a related technical field such as Information Technology, Computer Science, or equivalent work experience.
• Outstanding written and verbal communication skills. Must be comfortable leading 3+ hour calls and keeping up the progression of tasks on the call while assuring that all relevant topics are addressed.
• Advanced ability to identify, diagnose and resolve complex security issues across various environments.
• Understanding of security principles, policies, and industry best practices.
• Understanding of social engineering techniques that can bypass control systems.
• Experience with using, customizing or developing open-source security tools.
• Ability to effectively manage and prioritize multiple engagements, ensuring projects are completed on schedule and within scope.
• Proficiency in assessing and identifying threats and risks related to Exposure Management, including vulnerabilities and weaknesses in host or network configurations.
• Recent in-depth experience performing vulnerability scans, configuration audits, and security monitoring with core Tenable products, or other industry solutions.
• Experience with Metasploit and related tools commonly used to exploit vulnerabilities.
• Experience with application security testing, OWASP and common exploitable web application threats in the context of Exposure Management.
• Knowledge of auditing and configuration frameworks such as ISO 17799, CIS, PCI, GLBA, and HIPAA preferred.
• Familiarity with cyber security principles including vulnerability management, defence-in-depth, least-privilege, data protection, regulation and common security controls.
• Proven experience managing client expectations, building relationships and delivering consultative advice to ensure successful outcomes.
• Proven ability to manage client relationships, understand client relationships and deliver tailored security solutions that drive long-term satisfaction and partnership.
• Experience of defining and implementing exposure management programs, processes and procedures.
• Deep understanding of IT security principles associated with networks, operating systems, firewalls, databases, cloud infrastructure, identity and access management with experience in one or more of the fields.
• Familiar with developing integrations via REST API using known coding languages such as Python.
• Knowledge and understanding of SCADA and OT systems is a plus.
• CISSP, CCSP, or other technical certifications preferred.
• Ability to work remotely in a self-directed manner
• Ability to sit and work at a computer for extended periods
• Physically able to participate in training sessions, presentations and meetings
• Client-facing travel may be required
• Tenable office travel may be required 

#LI-Hybrid
#LI-KM1

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

The Role: 

WorldQuant is seeking an exceptional individual to join as Quantitative Researcher (Deep Research).

Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

As part of this role, you will:

• Build predictive signals using a structured and methodical research process combining fundamental knowledge, data exploration and quantitative analysis
• Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research
• Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

What You’ll Bring:

• Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• At least 2 years of relevant financial research experience
• Creative problem solver with a passion for experimentation and tackling unsolved challenges
• Strong foundation in mathematics, statistics, and quantitative modeling
• Strong interest in financial markets
• Proficiency in Python and C++
• Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs is a plus
• Excellent communications skills (both written and oral English)

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

WHAT YOU’LL BRING:

• Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

About the Role

This is not a traditional engineering role. This is a seat at the table.

You will work directly with Prodigal's CTO across the full breadth of building a frontier AI company — technical roadmap, AI projects, customer conversations, GTM collaboration, hiring, and everything in between. Think of it as an accelerated apprenticeship for a future CTO or technical founder. You will be handed ambiguity, context, and trust — and expected to run with it. Over one year, you will touch more dimensions of company building than most engineers see in a decade.

We are looking for someone in explore mode — technically sharp, intellectually restless, and hungry to understand how great companies are built from the inside.

What You'll Own

AI Projects & Technical Execution

• Lead high-priority AI projects end-to-end — voice AI, LLM reasoning, evaluation frameworks, and agentic systems — from research to production
• Work hands-on with frontier models, prompt engineering, real-time voice pipelines, and PIE, Prodigal's Intelligence Engine powering millions of live consumer finance conversations
• Evaluate emerging AI capabilities and support pragmatic build-vs-integrate decisions alongside the CTO

Strategy, Customers & GTM

• Participate in roadmap discussions, competitive analysis, and translating customer insights into engineering direction
• Join customer conversations and escalations; collaborate with Sales, Marketing, and Customer Success on technical enablement and thought leadership that represents Prodigal at the cutting edge

Hiring, Culture & Operations

• Participate in recruiting — evaluating submissions, interviewing, building assessment frameworks — particularly for campus hiring from premier institutions
• Be a sounding board for architectural decisions, tradeoffs, and team dynamics; help identify gaps before they become problems

What You Bring

• Strong CS fundamentals with hands-on Python and/or TypeScript — you write clean, production-ready code
• 0 to 5 years of experience; in explore mode, not exploit mode — still building, still hungry, not optimizing a narrow lane
• Genuine curiosity about AI — you read papers, build side projects, and form opinions about where the technology is heading
• High bias for action, comfort with ambiguity, and clear communication across engineers, customers, and executives
• A builder's mentality — you've made things that required sustained effort to bring into existence

Even Better

• Hands-on experience with LLMs — prompt engineering, evaluation, fine-tuning, or building LLM-powered applications
• Exposure to voice AI, real-time systems, or agentic architectures
• Considering a Masters in CS or AI, or recently completed one

Why This Role

Compounding Learning at an Uncommon Pace

Most early-career engineers spend years getting depth in one domain. This role gives you breadth and depth simultaneously — AI, product, customers, hiring, company building — all in one year, directly alongside a technical co-founder.

Proximity to the Frontier

Voice AI that reasons, decides, and acts in real-time financial conversations is one of the hardest applied AI problems being worked on right now. You will be building it, not reading about it.

A Blueprint for What You Want to Become

Whether you want to be a CTO, a technical founder, or a world-class AI researcher — this role is designed to accelerate that path. Real ownership, real stakes, increasing responsibility as you demonstrate it.

Job Benefits: 

• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4^th drink (of course that’s Nimbu Pani)

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

FEQ427R107

As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

This is a Hybrid role, based in Mumbai. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: India
Travel: 20% travel domestically and globally
Job ID:  1403

About the Position

We are looking for an experienced Data Centre Engineer who can help our team keep Jane Street’s data safe and accessible around the clock, which will involve a mix of hands-on work in our data and colocation centres, process thinking and project management. 

Your work will mostly involve designing, building, scaling and performing daily upkeep in our regional data and colocation centres. You’ll also get to collaborate with really talented people from all different areas of expertise across Jane Street to optimise our data environments and prevent major problems before they happen. 

You will join an interdisciplinary team made up of several groups across Jane Street, including our Network, Server, Facilities Engineering, Market Data and Trading teams, along with some external data centre operators, colocation and smart hands service providers, and cabling, hardware and telco vendors. Together, you will:

• Design plans for new equipment deployments using data centre best practices
• Coordinate logistical tasks across locations, including procurement, shipping, moving and keeping inventory of our equipment, cabling and parts
• Install and configure server OS in a PXE environment (fundamental Linux knowledge is required to deploy our network equipment)
• Install, cable, configure and troubleshoot different types of network and server equipment
• Ensure that all our data centres uphold the highest standards in terms of security, organisation, documentation, safety, cleanliness and supply management

This role provides on-location services that are crucial to our daily operations in Mumbai, as well as impact the operations of our remote locations across Asia. 

About You

While there’s no fixed set of skills required for this role (we can teach you what you need to know), here are some of the things we’re looking for:

• Ideally 5+ years of experience working in a data centre environment with a strong understanding of data centre best practices, cabling methodology and managing vendors
• A self-starter mindset; someone who takes initiative, gets the job done and is always on the lookout for ways we can do things better
• Clear communication and excellent people and project management skills
• Knowledge of networking fundamentals; including how to switch and routing protocols and troubleshoot Layer 2 and 3 connectivity issues
• Proficiency in a Linux environment (Scripting skills in Bash or Python are a plus)
• Experience deploying a variety of server and network hardware (e.g., Dell, Cisco, Arista, Ciena, Corning products)
• Ability to design, deploy, test and troubleshoot both copper and fibre cabling
• Willingness to travel and work evenings/weekends
• Fluency in English is required

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

Data Engineer with experience working with GCP wanted to join us on a permanent basis. You can either join us in our growing Mumbai team or join us remotely from across India. 

Step into the Koppling workstream as a Data Engineer and be a key player in building a sophisticated media data warehouse. Your role will involve developing and deploying robust ETL/ELT data pipelines to automate the integration of 3rd party data sources at scale. This is an excellent opportunity to apply solid technical problem-solving skills, advance your data engineering capabilities, and gain a foundational understanding of the marketing data domain. You'll contribute to creating a centralized, reliable data source that informs critical business decisions, working within a collaborative team environment.

What you’ll be doing

• Developing, and deploying robust ETL/ELT data pipelines using Python and SQL to integrate various 3rd party data sources.
• Automating the integration of 3rd party data sources at scale, ensuring data accuracy and timeliness for our media data warehouse.
• Utilizing Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, and Scheduler for efficient data processing and orchestration.
• Performing data modeling and transformations using dbt and SQL to structure and refine data within the media data warehouse.
• Managing and version controlling pipeline code and configurations using Git, ensuring collaborative development and deployment.
• Troubleshooting and optimizing existing data pipelines to enhance reliability, performance, and scalability.
• Applying infrastructure-as-code principles to manage data resources, potentially using tools like Terraform for environment provisioning.
• Developing or integrating APIs for complex data ingestion and exploring the use of streaming data technologies like Kafka or Pub/Sub for real-time data needs.
• Implementing and maintaining CI/CD pipelines to automate the testing, deployment, and monitoring of data solutions.

What we want from you

• Professional experience in data engineering or a similar role.
• Hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Cloud Run, and Scheduler.
• Proficiency in SQL for data manipulation and analysis.
• Strong programming skills in Python.
• Experience with dbt.
• Familiarity with infrastructure-as-code principles.
• Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills, attention to detail, and a proactive attitude.
• Ability to work independently and as part of a team in a fast-paced environment.

Desirable Attributes

• Familiarity with Terraform.
• Experience with API Development.
• Knowledge of streaming data processing concepts (e.g., Kafka, Pub/Sub).
• Familiarity with CI/CD pipelines.
• Relevant GCP certifications are a plus.

What we can offer you

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-AS1

Head of Quality Engineering to lead and scale our QA function in India (Relocation to Noida required) 

 This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

This role offers relocation to Noida, its important that you are happy to relocate to Noida and our team will support your relocation 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

IMC is a leading global market maker, using algorithmic trading and advanced technology to buy and sell securities on multiple trading venues worldwide. We provide liquidity to the financial markets, driving efficiencies for buyers and sellers. Founded in 1989, we are an ambitious, innovative company and identified early on the importance technology would play in the fast-paced evolution of trading. This entrepreneurial spirit still drives us today and can be found in all of our offices around the world.

Your Core Responsibilities: 

• Monitor Indian corporate/macro news, sentiment, material catalysts and translate into tradable actions
• Provide daily reports and commentary on themes relevant to our trading strategies
• Maintain constant expertise of Indian market structure, companies, economy and politics
• Collaborate with traders on strategies across market-making and position taking
• Assess impact of various corporate actions and upcoming events on pricing
• Communicate with other IMC Analysts across EU, US, Asia on trading research and strategies

Your Skills and Experience: 

• Bachelor’s or higher degree in Economics/Finance/Business OR STEM from a Top University. CFA would be a plus
• 3+ years of experience in Indian equities. Team handling experience is preferred
• Experience with Excel and Bloomberg is necessary
• Strong written, analytical, and financial research skills supported by natural curiosity
• Indian Macro/ Indian X-Asset exposure a plus
• Ability to multitask and perform under pressure in a fast paced, dynamic environment
• Skills to contribute and communicate in a team environment are essential
• Exposure to Python and Options knowledge including understanding of the Greeks is a plus

IMC is looking for an experienced Quantitative Researcher to develop trading signals and predictive models for our Options business. If you enjoy solving complex problems, working with large datasets, and building models that drive trading performance, this role could be a great fit.

You will focus on researching and developing statistically robust signals and models to better understand and predict options market behaviour. Your work will directly inform trading strategies and have a measurable impact on performance. You will also help shape the research direction by exploring new approaches and improving existing methodologies.

IMC has strong advantages across market access, technology, and execution, and you will work in a collaborative environment alongside traders and engineers to translate research into production.

Your Core Responsibilities

• Develop and test alpha signals and predictive models for Indian options markets 
• Perform large-scale data analysis to uncover patterns and trading opportunities
• Apply rigorous statistical methods to ensure robustness and reliability of results
• Build a deep understanding of market behaviour, pricing dynamics, and structural inefficiencies
• Collaborate with traders and engineers to translate research into production strategies
• Continuously improve models and identify new areas of research

Your Skills and Experience

• 3+ years of experience in quantitative research in NSE/BSE, ideally within derivatives or options
• Strong foundation in probability, statistics, and quantitative modelling
• Proven track record of developing impactful trading signals or models
• Experience working with large datasets and time-series data
• Strong programming skills in at least one language (Python preferred)
• Curious, analytical mindset with a focus on problem-solving and innovation

At IMC we run volatility trading strategies which are separate from our usual low-latency, execution based market making strategies. We rely on macro research and historical signals to place opinionated, relative value trades on asset classes globally. IMC is successfully ramping up its volatility trading strategies. To accelerate growth we are looking to expand the team with experienced traders.

Your Core responsibilities:

• Maximize revenue by both finding, and then capitalising on short term mispricing, as well as managing larger positions
• Work closely with our best-in-class research and quant teams to analyse your results and improve your approach
• Take responsibility and ownership early to drive strategies forward and be successful
• You will be instrumental in assisting us with our strategic goal to build our options trading globally, with a focus on positional market making and relative value strategies

Your Skills and Experience:

• 4+ years of experience as a Trader at a prop trading firm / market maker managing your own book
• Prior experience of options position trading in Indian markets is good to have.
• Experience in computer programming is desirable (Python, C/C++, Java, Matlab, SQL).
• Entrepreneurial mindset, healthy risk appetite, competitive by nature and fast decision maker
• Excellent numerical and analytical skills.

AI Systems Engineer
Reporting to: Lead AI & Platform Engineer
Company: Kulfi Collective
Location: Mumbai (Hybrid)

About the role

Kulfi Collective operates at the intersection of creativity and technology, working with global brands like Spotify, Meta AI, Duolingo, and more. We’re not experimenting with AI - we’re already running agentic systems used daily by teams and clients. 

Now we’re looking for a first-principles engineer to help scale what we’ve built:

• Backend systems powering AI agents
• Workflow orchestration
• Data connectors and database architecture
• Infrastructure that holds it all together

As part of the tech team, you’ll build AI-powered products and workflows focussed on transforming creative and marketing processes. You’ll develop innovative digital products and AI-driven market intelligence and automation platforms.

You’ll write code alongside AI coding assistants as a primary development tool and build systems designed for other AI agents to consume.

A day in the life of an AI Systems Engineer 

• Build agent workflows that handle failure, retries, and real-world messiness
• Design data connectors that let agents safely discover and query brand intelligence.
• Write clean, self-explanatory schemas and data migrations (readable by humans and machines)
• Instrument everything: LLM calls and agent runs, structured traces, eval harnesses, cost and latency budgets
• Maintain and improve CI/CD pipelines, containerised deployments, and observability across managed and self-hosted infrastructure
• Work within enforced-quality frameworks: automated development and infra workflows. The machines enforce the standards. You build things
• Use AI coding assistants (e.g. Cursor, Claude Code, Codex) daily as primary development tools, not supplements
• Mentor junior engineers and help establish coding and documentation best practices
• Raise the bar on code + thinking

What are we looking for:

• 2–3 years of experience building backend systems that have actually gone live
• Strong Python/TypeScript skills (async, type hints, modern tooling)
• You write code that is clear, structured, and interpretable, by humans and AI
• Database fluency: schema design, migrations, query optimisation
• Infrastructure comfort: Docker, containers, CI/CD, debugging production systems
• Sharp eye for detail: you catch inconsistent column names, misleading error messages, and subtle bugs during review
• AI assistant fluency: hands-on experience building with tools like Claude Code, Cursor, etc., with clear judgment on when to trust outputs vs rely on core engineering thinking
• Bonus if you've worked on: Agent systems / workflow orchestration, building agents (including browser agents), data architectures for programmatic use, observability (structured logs, tracing, metrics), and self-hosted or custom infra setups

Why join us?

• Direct learnings from a lean engineering team that has designed and built agentic systems
• Access to a mature governance framework and methodology that lets a small team ship with disproportionate output
• Hands-on experience building agent-first infrastructure where AI is the operating model, not a feature
• Work on projects that blend creativity, culture, and code, impacting the biggest brands in India and globally
• The domain is learnable. We'll teach it. You bring the craft

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 
 
Your future role within QRT 

Financial Data Analyst team is responsible for producing high quality data for QRT quant and discretionary business. This team is specialized in extracting data from sources which are very complicated to automatize but proven to have lot of value to business.

In this role, you will lead the team and help expand and strengthen its capabilities. You will work closely with stakeholders across research, trading, and technology. The role combines hands-on execution with opportunities to guide projects, improve processes, and support team members.

You will play a key role in ensuring that high-quality, well-structured data is available to support informed decision-making across the organization.

Key Responsibilities: 

• Primary responsibility would be the team and project management spanning across multiple stake holders
• Propose and enforce best practices in the team in data extraction and presentation
• Support and mentor team members while contributing to a collaborative and inclusive team environment
• Develop and improve processes for extracting, validating, and organizing data from sources such as websites, PDFs, and other formats
• Build and enhance automation workflows using Python and Excel to improve efficiency and scalability
• Collaborate with cross-functional teams to understand data needs and deliver usable, high-quality datasets
• Maintain data quality by identifying and resolving inconsistencies or gaps
• Share relevant market updates and insights with stakeholders
• Stay informed about evolving tools, technologies, and data sources, including emerging applications of AI/LLMs

Your Present Skill Set: 

• Bachelor’s or master’s degree in finance, Computer Science, Data Science, or a related field
• 10+ years of experience in financial data research or a related domain
• Strong understanding of financial markets and data sources
• Experience in team management and project management
• Strong hands-on experience with Python for data extraction and processing
• Experience working with both structured and unstructured datasets (e.g., filings, earnings calls, alternative data)
• Strong analytical skills and attention to detail
• Comfortable working with stakeholders across different functions
• Effective communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.
  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

QA Automation Engineer 

Status: Full-time 
Reports To: Manager 
Location: Mumbai, IN 
Work Hours: Monday – Friday, 11:00 AM – 8:00 PM 

Position Summary 

Decisions + ProcessMaker are rapidly growing, private-equity-backed technology companies that provide a unified workflow and rules platform for business process automation (BPA). Trusted by Fortune 500 firms and SMBs globally, we enable organizations to simplify operations, enhance efficiency, and achieve measurable results—without requiring technical expertise. 

As a QA Automation Engineer, you will manage the testing strategy, processes, and resources for the Decisions platform. You will work closely with multiple departments—including Cloud Ops, Developers, Documentation, Professional Services, R&D, Solutions, and Support—to identify core issues and prioritize fixes within tight release schedules. 

Key Responsibilities 

• Develop and implement strategies to test the platform effectively across multiple versions and tight timelines. 

• Conduct both automated and manual testing as part of a global QA team. 

• Write automated tests using C# along with web automation frameworks like Playwright. 

• Communicate platform issues and testing results with leadership, developers, and other departments. 

• Document testing results and create reports for leadership to track release readiness. 

Support Duties 

• Understand enterprise integrations and communicate effective testing plans and solutions. 

• Provide examples and training for testing resources on platform features. 

• Anticipate problems and offer recommendations for resolution. 

• Challenge the status quo and take initiative to improve processes. 

• Actively observe, learn, communicate, and contribute to advancing the organization’s mission. 

Requirements 

• Certification in Quality Assurance (Automation). / Bachelor's degree in Computer Science, Information Systems, Engineering, or Mathematics 

• 0–2 years of experience in QA Automation. 

• Strong attention to detail and ability to multitask. 

• Excellent written and verbal communication skills for both onshore and offshore audiences. 

• Knowledge of databases, enterprise systems, web applications, and software QA best practices. 

• Understanding SDLC using Agile or other lean methodologies. 

• Basic software development knowledge: OOPs concepts and along with data types, variables, loops, exception handling, or strong problem-solving skills. 

• Ability to analyze information from multiple sources to develop testing plans. 

• Proficiency in Windows computing (e.g., finding local IP, using Command Prompt). 

• Strong desire to deliver excellent user experience and high-quality software. 

• Analytical mindset with a detective approach to software testing. 

• Familiarity with Windows services, networking concepts, APIs, and testing fundamentals. 

• Optional but beneficial: experience with Java, Python, .NET, HTML, C#, SQL, JS, IIS, AD, Hyper-V/VirtualBox, or any software testing platform. 

• Adaptable to changing organizational priorities in a fast-paced environment. 

• Are you curious, excited by experimentation and always looking for a better way of doing things?
• Do you want to keep learning and developing whilst getting hands-on experience working in the embedded payments space?
• Do you want to have the opportunity to high-growth environment with a fast-paced and collaborative culture where you will work with some fantastic clients and partners?

If so, we would love to hear from you!

We are looking for ambitious, value‑adding talent to join Modulr — one of the fastest‑growing payments businesses in the UK and Europe — to help drive Change and Automation across our Operations function. This role will lead process improvement, operational change and automation initiatives that enhance our operational process’s while delivering greater efficiency and consistently high service standards.

We are looking for a Mumbai based candidate to leverage our “Office First” strategy but the wider team is based across various locations and will support both our UK and European entities.

About us

At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables businesses, from SMEs to Enterprise, initially across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment schemes, accounts, and card products. 

We have created an industry-leading API platform with comprehensive online tools and access, to meet the demands of daily business payments. We have two routes to market. Our Core Business Payments product allows customers in any sector to connect to us and our expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS to automate payments. Our Vertical Solutions targets a growing range of industry verticals which directly connect their IT platforms to our APIs and webhooks. We solve complex payment problems for hundreds of clients in a range of industries, including Travel, Lending, Wage Advance, and Investment & Wealth. 

Our regulatory permissions and governance structure are the foundations of our business. We are regulated and supervised as an Authorised Electronic Money Institution (AEMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank. 

Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr now has over 450 employees spread globally across offices in London, Edinburgh, Amsterdam, Mumbai and Pune.

Modulr values

• Building the extraordinary; going that extra mile.
• Owning the opportunity; be passionate and proud of the time you invest.
• Move at pace; reach goals faster whilst supported on your career journey.
• Achieve it together, working collaboratively and being a Modulite.

 The role

We’re looking for an Operations Automation Engineer to join our Operations function and help us build smarter, faster and more scalable ways of working. The Operations function mainly executes processes to mitigate risks to Modulr across multiple tasks, covering Money Laundering/Terrorist Financing, Fraud, Sanctions and other Financial Crime risks. As the function grows, the ability to deliver well‑designed, efficient and scalable processes becomes increasingly critical.

This is a hands‑on, delivery‑focused role for someone early in their engineering or automation career who enjoys working close to operations, solving real problems, and implementing practical technical solutions. You will focus on building and improving tooling, workflows, scripts and lightweight automation that support Operational teams operating at scale. The Operations Automation Engineer will be responsible for analysing existing processes, identifying opportunities for improvement, and designing and implementing change that strengthens our control environment while driving efficiency. This includes supporting automation initiatives, improving documentation, ensuring changes land effectively with operational teams, and partnering with Product, Engineering and SMEs to deliver enhancements that scale with the business.

You do not need deep Financial Crime or Compliance experience to succeed in this role. What matters most is your ability to understand operational problems and turn them into effective, well‑designed technical solutions in a controlled environment.

Specific duties

• Analysing existing operational processes across Payment Operations, Screening, Fraud, and Onboarding to identify opportunities for improvement, automation and simplification.
• Designing and implementing process changes that enhance efficiency, strengthen controls and support scalable growth.
• Contributing to a culture of continuous improvement, ensuring processes evolve in line with regulatory expectations, business growth and operational needs.
• Work directly with frontline operations teams to understand pain points and design practical, scalable solutions that reduce manual effort and improve consistency.
• Own small‑to‑medium automation initiatives end‑to‑end, from problem definition and design through to build, testing, deployment and iteration.
• Maintain and enhance existing operational tools, scripts and dashboards, ensuring they remain reliable, well‑documented and fit for purpose.
• Translate operational requirements into clear technical solutions, balancing speed, quality and control.
• Support safe and controlled change by documenting solutions clearly and ensuring they land effectively with operational teams.
• Use data and performance insight to identify opportunities for further automation or workflow improvement.
• Partner with Product and Engineering teams where deeper system changes are required, while remaining accountable for operations‑side delivery.
• Contribute to a culture of continuous improvement, curiosity and problem‑solving within Operations.

About you

We’re looking for someone who brings a technical, builder mindset, rather than a traditional compliance or change background.

• 1–3 years’ experience in an engineering, automation, technical operations or similar role.
• Hands‑on experience building solutions using one or more of the following:
• Scripting or programming (e.g. Python, SQL, JavaScript or similar)
• Low‑code / no‑code tools
• Workflow, case management or operational platforms
• Dashboards, reporting or operational MI tooling
• You understand the importance of strong governance and controlled change, and you’re comfortable designing and improving operational processes.
• You bring strong analytical skills and can translate data, trends and operational insight into meaningful recommendations.
• You have experience delivering or supporting change, whether through process redesign, automation, or operational improvement.
• You’re structured, organised and able to balance short‑term tasks with longer‑term initiatives.
• You communicate clearly, influence effectively and work well with stakeholders across Operations, Product and Engineering.
• You’re comfortable working in a fast‑paced, evolving environment and enjoy taking ownership of problems and seeing them through to resolution.
• You have a strong interest in automation and efficiency, and you naturally look for ways to streamline processes and improve outcomes.
• You enjoy sharing knowledge, collaborating with others and contributing to a high‑performing operational culture.
• You are proactive, curious and solutions‑focused, with a strong ability to identify risks, understand controls and support continuous improvement.

ModInclusion

At Modulr, we are working hard to build a more positive diverse and inclusive culture that helps everyone to feel they belong and can truly bring their whole self to work. Not only is it the right thing to do for everyone in the Modulr team, it’s also the right thing to do for our business, the community we operate in and attracting future talent. As part of our approach, we actively welcome applications from candidates with diverse backgrounds.

Job description

This role does require travel to colocation facilities in the area. We are seeking a dedicated and experienced Data Center Engineer to join our Mumbai team. This role requires hands-on work with our physical servers, network infrastructure, and IT components across various colocation facilities. You'll be responsible for the physical setup, maintenance, and troubleshooting of server and network hardware, as well as ensuring smooth operations and efficient documentation practices. The ideal candidate is energized by working in a cutting-edge datacenter environment that enables IMC to continue to be at the forefront of the evolving global financial markets.

Your Core Responsibilities: 

• Oversee the lifecycle of physical servers, network devices, and other IT infrastructure components
• Perform installation, configuration, and upkeep of server and network components in our datacenters
• Plan and implement efficient rack layouts, cabling schemes, and patching schedules to optimize data center operations
• Diagnose hardware issues, coordinate with vendors for repairs or replacements (RMA process), and ensure timely resolution
• Handle incoming and outgoing shipments, maintain accurate hardware inventory, and manage stock levels of IT components
• Develop and maintain comprehensive documentation of physical infrastructure, cabling layouts, rack configurations, and associated processes
• Build and maintain strong working relationships with hardware vendors, colocation partners, and remote hands teams to ensure efficient operations
• Maintain office IT infrastructure, including hardware and network systems. The position requires a willingness to work outside regular business hours.

Your Skills and Experience: 

• 5+ years of hands-on experience in data center engineering
• Strong understanding and basic troubleshooting of server hardware, network devices, and datastorage systems
• Knowledge of network cabling, fiber optics, and optical transceivers
• Experience with fiber and optic testing 
• Basic knowledge of Linux operating systems and networking protocols
• CCNA certification is a plus
• Proven experience in racking, cabling, and working with data center facilities management tools (power, cooling, etc.)
• Familiarity with basic scripting in Bash and Python within a Linux environment is a plus
• Strong ability to manage time effectively, prioritize tasks in a fast-paced environment, and adapt to changing requirements
• A collaborative mindset, with the ability to work both independently and as part of a team, often with minimal supervision
• Ability to safely lift and move equipment weighing up to 60 pounds
• Willingness to work flexible hours, including evenings and weekends, as required
• A valid driver’s license is required for travel between facilities

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to develop and maintain web scraping tools to build datasets for research and trading
• Contributing to integrate datasets from internal or external providers
• Manage the multiple and extensive dataset used in the QRT research and trading platform
• Monitoring fetching processes and data health
• Supporting users (Quants & Traders)

Your present skillset

• 4+ years’ experience in web scraping
• Advanced English, both written and verbal communication skills
• Polyglot developer, Python coding is important
• Software engineering best practices
• Ability to communicate and understand user needs
• Structured and unstructured data management expertise is a plus
• Knowledge of the financial data of equity/derivatives is a plus
• Intellectual curiosity to learn new technologies
• Capacity to work with autonomy within a global team

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale.

Your future role within QRT

• Design and implement low-latency trading systems on Linux, focused on throughput, reliability, and determinism
• Engineer scalable, high-performance distributed systems that support global real-time trading workflows
• Analyse system behaviour using low-level tools such as packet captures, core dumps, and runtime profilers
• Apply deep expertise in TCP, UDP, and multicast to understanding trade-offs in short-haul vs long-haul networks
• Continuously profile, benchmark, and optimise code to reduce latency and increase throughput
• Engage across the full software lifecycle: from architecture to debugging in live trading environments

Your present skillset

• 7+ years of professional C++/C development experience on Linux, including modern C++ and multithreading
• Strong expertise in TCP, UDP, multicast, and performance trade-offs in low-latency networks
• Experience building and operating high-throughput distributed systems in production
• Familiarity with scalable I/O models (e.g., epoll, io_uring), lock-free structures, and concurrent programming
• Deep attention to detail with a rigorous approach to performance troubleshooting and optimisation
• Proficiency in system-level tools (e.g., gdb, perf, tcpdump, valgrind, wireshark)
• Comfortable working autonomously and taking ownership from problem to solution
• Scripting experience (e.g., Python, Bash) and exposure to CI/CD or observability tooling is a plus
• Prior exposure to electronic trading or exchange-facing systems is advantageous

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

So, what’s the role all about?

NICE, the market leader in cloud-based contact center technology, is looking for an experienced Solution Consultant to excite potential customers about its extensive portfolio and aid them in ultimately becoming a NICE customer.  A successful Solution Consultant will work consultatively with prospects to identify their goals and business drivers, and creatively design a solution that will meet the ever-growing demands of their contact center needs. This position will provide dedicated sales support to the Enterprise, BPO and SMB sales teams by exceeding the below expectations.

How will you make an impact?  

• Proactively identifying and addressing our customer's technical needs and objections to drive new sales, and existing account expansion.
• Actively learning and mastering the NICE software portfolio at an intermediate level, in order to creatively apply our technology to help our customers achieve their business goals.
• Critically evaluating the technical sustainability of each new sales opportunity or Request for Proposal, ensuring that our contractual obligations to each new customer are accurate, and can be delivered in a timely manner.
• Helping facilitate a smooth transition from pre-sales to implementation by providing adequate knowledge transfer regarding the scope and requirements of the project, ensuring a seamless onboarding experience.
• Protecting NICE from projects where technical challenges outweigh the value of a technically problematic opportunity, and long-term partnership.
• Assisting our Sales team through preparation and delivery of business discussions, technical presentations, and product demonstrations, by carefully mapping customer business requirements to effective value driven technical solutions leveraging the NICE software portfolio.
• Proactively identifying customer needs through a technical benefits assessment, carefully building the business value of the solution, in order to assist with overcoming potential objections to proposed technical solutions.
• Meeting with our prospective customers as a trusted technical advisor, developing a deep understanding of their current environment, key business challenges and goals, and helping prospective customers envision the benefits that can be realized through an advanced contact center deployment with NICE.
• Gathering valuable field data and product feedback from each customer engagement and working directly with Product Management to facilitate ideas for the long-term technical direction and development of NICE’s software portfolio.
• Providing an open and continuous knowledge transfer to the overall Sales Team and newly hired SEs, highlighting the technical aspects and benefits of our solution, and how to competitively position each product.
• Delivering partner enablement activities, ranging from ad-hoc updates to extended knowledge transfer sessions.
• Building and maintaining demo environments both for internal NICE usage and for our partners.
• Assisting in the preparation and response to customer RFP requests, carefully qualifying the prospective deal for technical feasibility.
• Scoping and building proofs of concept for prospective customers that require a hands-on experience of NICE products, to confirm the required performance of the solution within their environment.
• Developing detailed solution design documentation for each new customer, which will serve as the foundation of our technical engagement, and act as a bridge to seamlessly engage our Professional Services Organization, to provide the most effective onboarding experience.
• Continuously building and maintaining relationships with key stakeholders in each sales cycle, including executive, financial, technical decision makers and influencers within each of our prospects.

Have you got what it takes?  

• Bachelor’s degree in computer science, IT/Business Information Systems, Communications or related field or equivalent work experience required.
• Strong background & experience in AI /GenAI-powered Virtual Agent, Agent Assist, Agentic AI, Knowledge Management
• Good knowledge of CCaaS- Omni-channel/digital, Proactive, ACD/Dialer, IVR, CRM capabilities & use-cases
• Good Knowledge of contact center operations & applications- Workforce Engagement Management (Recording, Quality & Performance Management, Workforce Management), Interaction Analytics & Automation (RPA), Voice of the Customer (VoC)
• Basic knowledge of IP telephony, SIP trunk, WebRTC
• Basic knowledge of cloud security
• Exceptional written and verbal communication skills
• Excellent interpersonal skills with the ability to effectively listen to quickly assess the situation and then convey thoughts and ideas in a clear and concise manner.
• Strong presentation skills – must possess the ability to sell and effectively build credibility in front of all levels of management, including an executive audience.
• Analytical and quantitative abilities required – Must be able to interpret and explain financial and statistical information.
• Min 12+ years of Pre- sales experience
• Ability to manage multiple competing priorities and work effectively under the pressure of time constraints in a fast-paced, collaborative environment
• Experience with programming or scripting languages such as Java script or Python, and including use of REST APIs.
• Detail-oriented, but able to digest the critical elements of a situation to withstand being hyper-focused on the minutia.
• Ability to multi-task in a challenging environment while maintaining a high level of ownership and responsiveness.

What’s in it for you?  

• Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!  

Enjoy NiCE-FLEX!   

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.  

Requisition ID: 9539
Reporting into: Director, Portfolio Solution Engineering
Role Type: Individual Contributor  

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact   

The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager / Senior Associate, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.

WHAT YOU WILL DO   

• Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
• Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
• Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development, improvement, and compliance.
• Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands, disciplines, and offices.

Skills and Experience  

• 3–6 years of relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
• Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
• Practical understanding of data science techniques, statistical analysis, and modelling.
• Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT: 

• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behavior and model performance over time within your strategies. 

Your present skillset: 

• Proven track record in delivering successful Crypto systematic strategies. 
• Minimum 2 years of experience in the financial industry.  
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. 
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. 
• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail. 
• Good fundamental crypto knowledge is a plus. 
• Experience with one or more of the below is a plus: 
• Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production  
• Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. 
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. 
• Capacity to work with autonomy within a collegial and collaborative environment. 
• Strong capacity to communicate with technologists, data scientists and traders across the globe. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform
• Contributing to design and implementing QRT data store and its API
• Monitoring fetching processes and data health
• Integrating alternative datasets
• Supporting users (Quants & Traders)

Your present skillset

• 2-10+ years' experience in a related field
• Advanced knowledge of Python is a must
• C#, Rust, JavaScript nice to have
• Previous experience handling and processing large amounts of both structured and unstructured data 
• Experience using new age technologies like data-lake, data-mesh in cloud
• Prior experience in financial assets, market data and it's data vendors is a plus
• Intellectual curiosity to learn new technologies to build scalable and robust products
• Capacity to work with autonomy within a global team
• Advanced English, both written and verbal communication skills required to understand business requirements

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT: 

• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behavior and model performance over time within your strategies. 
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset: 

• Min 3 years of relevant experience with strong track record.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 
 
Your future role within QRT: 

• Drive joint research projects, PhD collaborations, and knowledge-exchange programs that advance academic excellence.
• Partner with Research and Technology Leads to identify academic expertise and emerging research areas and drive regular project reviews with constructive feedback to build strong technical and research capabilities.
• Build and nurture strong partnerships with leading premier universities, academic institutions, and research groups.
• Position the firm as a trusted partner for advanced research, fostering both applied and theoretical collaborations.
• Design and deliver high-quality training across quantitative methods, programming, engineering practices, and applied research.

Your present skillset: 

• PhD in mathematics, statistics, machine learning, finance, computational finance.
• Demonstrated expertise and a minimum of 3 years' experience in quantitative research methods, such as optimization, statistical modelling, portfolio construction or factors/empirical asset pricing.
• Proficiency in Python, with a hands-on approach to coding, data analysis, and research implementation.
• Excellent communication skills, with the ability to present complex concepts clearly to both technical and non-technical audiences.
• A strong interest in teaching, mentoring, and capability development, with a collaborative and enablement-focused mindset.
• Active engagement with the academic and research community, including experience in building and maintaining external collaborations.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

What You’ll Do

• Build and deploy LLM-powered AI agents (including voice agents) in production, designed for real-world use cases
• Own the end-to-end lifecycle of AI systems — from problem scoping and design to deployment, monitoring, and continuous iteration
• Design and optimize prompts, RAG pipelines, and evaluation frameworks to improve accuracy, latency, and reliability
• Work directly with customers and Implementation Managers (IMs) to understand workflows, solve real-world problems, and drive successful go-lives and iterations 

What We’re Looking For

• 1–3 years experience in backend / data / AI engineering
• Strong in Python + SQL
• Experience or exposure to LLMs, RAG, or prompt engineering
• High ownership, ability to work in ambiguity and ship fast
• Comfortable working with customers and cross-functional teams

Preferred Qualification

• B.Tech, BE, or M.Tech in Computer Science or a related discipline, with 1–3 years of relevant experience

Bonus

• Experience with production LLM systems / AI agents
• Familiarity with evaluation, agent tooling, or voice AI
• Experience with Databricks, MongoDB, or distributed systems
• Startup or customer-facing engineering experience

Why This Role

• Work on real production AI systems (not demos)
• End-to-end ownership and fast iteration cycles
• Direct impact on enterprise customers and business outcomes

Mode of Work - In-Office

Job Title: GenAI Engineer (Prompt Engineering)

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 5 to 8

Skills and Qualifications:

We are seeking a dedicated and experienced Software Developer to join our Mumbai team. The ideal candidate is energised by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets.

Core Responsibilities

• Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
• Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
• Collaborate with development teams on data modeling, data ingestion, and capacity planning
• Work with users to ensure data integrity and availability
• Act as a Big Data SME and consult on a variety of data-related questions from users and developers

Skills and Experience

• 5+ years' experience working in a mature data engineering environment
• 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
• 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
• Experience with Apache Spark, Apache Flink or similar tools
• Strong Java, Python, and SQL development skills
• Experience with common data-science toolkits, especially python-based
• Hands-on experience with Kubernetes and Docker
• Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie
• Strong statistical analysis skills
• Demonstrated ability to troubleshoot and conduct root-cause analysis
• Unix scripting experience (bash, python, etc.)

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving complex problems. You will play a key role in ensuring our operations perform at the highest level possible, working to achieve our goal of building one of the best proprietary trading firms in the world.

Are you looking for an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion? Then this is your once-in-a-lifetime opportunity to be part of a successful and fast-growing company.

Responsibilities

Depending on your background and focus, your responsibilities may include:

As a Quant Trader

• Generate profits, trading by position taking and market making
• Manage and monitor trading risk in real-time
• Develop and refine strategies for both existing and new markets
• Optimize desk performance, devise new trading strategies and improve trading infrastructure

As a Quant Researcher:

• Analyze large datasets to identify trading opportunities
• Develop tools that translate data analysis results into useful inputs for trading
• Build and back test quantitative models and strategies
• Collaborate with traders and developers to bring strategies to production
• Explore new markets and refine existing models and tools

As a Quant Developer:

• Design and implement high-performance trading systems and tools
• Collaborate with researchers and traders to translate ideas into robust, scalable code
• Improve infrastructure, latency, and deployment workflows
• Ensure reliable operation in live trading environments

Requirements

• 3 to 10 years of experience in a quantitative role (trading, research, or development) at a prop shop like ours or similar
• A strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related field
• Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)
• Proficiency in programming (Python, C++)
• A strong analytical mindset, attention to detail, and a desire to continuously improve
• Excellent communication skills and a team-oriented approach
• A proactive, entrepreneurial attitude and comfort working in a fast-paced, evolving environment

Benefits

• Base salary of 85 lakh INR, with total compensation (including performance-based bonuses) expected to be 500k + USD annually
• Outstanding performance is also rewarded with shareholding in the company
• Relocation package
• Comprehensive health insurance coverage
• 20 vacation days each year
• Meals during work hours
• Social events and after-work drinks

IMC’s Mumbai based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organization. From ensuring our connectivity to the market and handling massive amounts of data, to implementing complex trading algorithms and integrating advanced hardware solutions.

Your Core Responsibilities: 

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits.

Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability.

These are just some of the technologies our C++ software engineers are currently working with: C++ 20, Linux, Docker, Kubernetes, Apache Kafka, Apache Spark, Impala, Hadoop, Python and FPGAs.

Your Skills and Experience: 

• Strong academic background in Computer Science (B. Tech/B.E), with 4-8 years of work experience in C++

• Natural problem-solvers, who enjoy tackling fresh challenges each day

• Team players: to succeed, SWEs must be able to build strong relationships with those around them

• Excellent written and verbal communication skills; fluency in English

We’re seeking a Linux Engineer with deep systems expertise and Python/scripting experience to join our growing global team. You will be responsible for engineering and operating Linux at scale across our mission[1]critical environment, while also improving automation and self-service tools that enhance our ability to manage IMC’s servers.

The Linux Engineering team is responsible for the provisioning, configuration, performance, and reliability of a large-scale Linux infrastructure that supports a diverse set of workloads. These include ultra-low latency systems critical to high-frequency trading, as well as high-throughput environments that run research workflows and a wide variety of Kubernetes-based applications. This role requires strong Linux fundamentals applied at scale, with automation as a key enabler for consistency and efficiency across the fleet. Your initiative, collaborative attitude, problem-solving skills, and focus on continuous improvement will help ensure IMC stays competitive by bringing the latest technologies and practices into production.

Your Core Responsibilities: 

• Apply deep Linux engineering expertise to troubleshoot and resolve complex issues on enterprise systems, ensuring stability and performance
• Enhance configuration management code and processes that we use to manage over 10,000 bare-metal Linux systems globally
• Develop and maintain Python/Bash tools to support large-scale Linux systems management
• Improve provisioning workflows to seamlessly build bare servers into production-ready platforms
• Extend Linux-focused metrics, logging, monitoring, and alerting integrations for full fleet visibility
• Communicate updates and status clearly and frequently with peers and stakeholders through meetings, tracking tickets, code reviews, chats, and merge requests

Your Skills and Experience: 

• Hands-on Linux systems engineering, administration, and provisioning expertise applied at scale, preferably on bare-metal systems
• Configuration management at scale, preferably on bare-metal servers with Puppet and Hiera
• Python development for automation, APIs, design, testing, and debugging
• Ansible playbook authorship and complex task automation
• RPM design, build, publishing, and in-house repository management
• CI/CD pipelines, Git version control, branching and merging best practices
• Strong system and network troubleshooting with tools such as EBPF, tcpdump, strace, systemd, ntp/ptp, lsof, and nc
• Networking fundamentals: routing, DNS, TCP/UDP/multicast
• Experience building and publishing Docker images
• Working familiarity with Kubernetes
• Exposure to monitoring stacks such as Prometheus, Grafana, and AlertManager, with a focus on Linux telemetry and exporter development
• Bachelor’s degree in Computer Engineering or a related field, or equivalent professional experience

Join our forward-thinking team as a Network Engineer, where you will play a key role in designing, implementing, and supporting high-performance, low-latency network infrastructure.
At IMC, the Trading Infrastructure team is responsible for the WAN, LANs, and all low-latency connectivity to trading venues. You will work closely with Systems Engineers, internal teams, and external partners to deliver best-in-class solutions that support our trading business and help evolve our infrastructure to meet the demands of a dynamic industry.

Your Core Responsibilities:

• Design, implement and support the networking infrastructure. Key areas include Low-latency networking, Unicast and Multicast routing, OSPF, BGP, PIM SM, as well as things like QoS, STP, NAT, protocol tuning, etc.
• Monitor, guard and analyze the proper functioning of our network infrastructure. Take adaptive, retentive and corrective measures and perform structural maintenance.
• Proactively improve our infrastructure by contributing scripts and code to our automation efforts (e.g. Bash, Python).
• Accurately create and maintain documentation detailing the implemented network components, as well as relevant procedures and other documentation.
• Responsibility for our IT security related platforms. Key areas include Palo Alto firewalls, VPNs, Security policies, etc.
• Work flexible hours. We are proud of the uptime of the trading environment, so every now and then you will be working outside of regular business hours to apply critical changes. This could be from your desk, your couch at home or also inside of one of our datacenters abroad.
• Liaise with external vendors, exchanges and providers to explore new technology solutions, implement new services or troubleshoot problems.

Your Skills and Experience:

• 5+ years of experience as a Network Engineer, with a passion for all aspects of networking
• Proven ability to design, implement, and support high-performance networks
• Strong appetite for accuracy and willingness to go beyond standard textbook networking concepts
• Collaborative mindset with experience working closely across cross-functional teams
• Ability to motivate and encourage peers while maintaining a high technical standard
• Excellent verbal and written communication skills, including the ability to explain technical topics to both technical and non-technical stakeholders

IMC’s Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You’ll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you’ll see your work  move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning—where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success.

Your Core Responsibilities:

• Collaborate closely with traders to refine existing strategies and generate new ideas.
• Build, maintain, and enhance research frameworks  and data pipelines that enable trading and quantitative research.
• Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets.
• Curate, transform, and present data in clear, accessible formats for traders and researchers.
• Drive end-to-end research cycles — from ideation through production deployment.

Your Skills and Experience:

• Bachelor's in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
• 3+ years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus.
• Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
• Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively.
• Foundational knowledge of quantitative trading concepts and equity/index options —  whether through coursework, projects, internships, or professional work.
• Exposure to web/API frameworks such as FastAPI and React is advantageous.
• Experience with orchestration and containerisation tools like Kubernetes and Docker is a plus.
• Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine-learning techniques is beneficial.

Location: Sion, Mumbai, IN 
Type: Fulltime 
Work Hours: Mon–Fri, 11:00 AM – 8:00 PM 
Reports To: Engineering Manager 

About Decisions + Process Maker 

Decisions + ProcessMaker is a fast‑growing technology company reshaping how organizations automate processes and make smarter, faster business decisions. Our platform brings together workflow automation, rule engines, AI‑powered decisioning, and no‑code/low‑code tools to help enterprises modernize efficiently and at scale. 

We are seeking a skilled Full Stack Developer (Python / React / TypeScript) to join our team and contribute to the development of our Process Intelligence Platform. This role is more front-end-focused, with significant ownership in the evolution of our dashboard and user-facing features built with React and TypeScript. In addition to frontend development, you will also design and develop backend services in Python as part of a fully remote, English-speaking team. 

Key Responsibilities:  

• Take ownership of the development and evolution of the Process Intelligence dashboard and user-facing features built with React and TypeScript. 

• Design and implement scalable, maintainable frontend architecture with a strong focus on performance and data visualization. 

• Develop and maintain backend services in Python to support analytics, APIs, and data processing needs. 

• Implement and integrate APIs between frontend and backend services, ensuring reliability and performance. 

• Work with complex event log data and contribute to data transformation and processing pipelines. 

• Optimize system performance and scalability across both frontend and backend components. 

• Collaborate closely with product management, designers, and engineers in a fully remote, English-speaking team. 

• Contribute to continuous improvement of code quality, architecture, and development practices. 

Qualifications:  

• 3+ years of professional experience in TypeScript development / Python (React, Django, Fast API frameworks).  

• Strong experience building complex React/TypeScript enterprise applications using Redux Toolkit, RTK Query, and Tailwind CSS, with a focus on data visualization and scalable component architecture. 

• Proficient in modern Python (3.10+) with strong experience in async programming, type annotations, Pydantic data modeling, and building data transformation pipelines. 

• Bachelor's Degree in computer science, information systems, engineering, or math. 

• Strong communication skills in English. 

• Strong understanding of SDLC methodologies.  

• Ability to manage workloads and conflicting priorities effectively, work both independently and collaboratively, and consistently meet firm deadlines.  

Preferred Qualifications 

• Experience working within cloud vendors (Azure/AWS) and MongoBD atlas. 

• Experience with Chart.js (or similar libraries) for complex data visualizations. 

• Experience in Task and Process Mining technologies. 

• Experience in understanding of workflow technology and process automation methods, and best practices. 

We're seeking a Machine Learning Lead to join our team in building cutting-edge products that shape the future of consumer finance. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products. Our teams are constantly pushing the boundaries of applied intelligence in consumer finance, and we're looking for passionate individuals who can help us advance us further. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have a significant impact, we encourage you to apply.

Responsibilities:

• Partner with the CTO to drive the team's goals and technical direction to pursue opportunities that make the organization more efficient
• Effectively communicate complex features and systems in detail
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner with the CTO to lead long-term technical vision and roadmap for Machine Learning and the entire organization
• Suggest, collect, and synthesize requirements and create an effective feature roadmap
• Design and develop Machine learning products and services leveraging AI (LLMs, Agentic AI, classical ML, the modern NLP stack, etc)
• Architect and implement data pipelines for ML model training. Lead scalable software systems development to deploy ML models into production systems, ensuring high performance and reliability.
• Stay updated on ML research and the ever-changing Gen AI landscape, identifying opportunities for innovation.
•  Effectively collaborate with cross-functional teams to deliver high-quality solutions on time. Guide team members in contributing to ML design discussions for new projects.

Requirements:

• Extensive experience, 5+ years in software development, with a focus on machine learning and data science in a tech company. 
• Proven track record of delivering high-quality ML products in a fast-paced, agile environment.
• Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.
• Strong coding skills in Python. Familiarity with machine learning libraries such as PyTorch and sci-kit-learn. Experience with data manipulation and analysis tools like Pandas and Spark.
• Strong communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.

Preferred Qualifications:

• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems.

Job Benefits 

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that’s Nimbu Pani).

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

In India, we have our teams based in Pune, Mumbai, Delhi and, Bangalore. We pride ourselves on being client-focused and collaborative, on the pioneering edge of technology. We also have fun. Whether it’s office happy hours, team outings, or game nights, we believe in working with people we like to hang out with.

Ideal candidate traits

If you identify as a team player and you are humble, hungry, and smart — we would love to get to know you. We believe these qualities to be vital to building a strong, productive, and collaborative work environment, where everyone is committed to achieving common goals and working towards shared success.

We are looking for people who are willing to learn from others, who can put their egos aside and prioritise the needs of the team. You should also be highly motivated, driven to succeed, and always looking for ways to improve. We value emotional intelligence, excellent communication skills, and a collaborative spirit that enables them to build strong relationships with teammates and work effectively towards shared goals.

At AlphaSense we are committed to fostering a work culture that encourages these qualities and values the contributions of team players who exhibit them. We seek to match the ambition of ideal team players by offering opportunities for personal and professional growth, providing the resources and support necessary to achieve their goals, and creating an environment where hard work, dedication, and teamwork are celebrated and rewarded. At AlphaSense we are building teams of ideal players who embody the core values of Sisu, driving the company’s success and helping us to create a positive impact on the world.

Technologies that we work with:

Frontend

ReactJS, TypeScript, Micro Frontends

Applications

NodeJS, TypeScript, GraphQL, Java 17, Spring Boot, Python, FastAPI

Backend

Java 17, Spring Boot, Python, FastAPI, Kafka

Search and AI

Apache Solr, Elasticsearch, Vector Search, ML, LLM, Pytorch, Tensorflow

Cloud architecture

AWS, GCP, Kubernetes, Crossplane, Argo CD

Quality & reliability

Cypress, Selenium, Selenide, Playwright, Rest Assured, K6, Prometheus, Loki, Grafana

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AlphaGrep is a quantitative trading and investment management firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

AlphaGrep Securities seeks a Quantitative Research Intern, who will be part of trading group which executes algorithmic strategies based on market behavior. We cover the global markets by leveraging and integrating technology, risk management and quantitative research.

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analysing market data and market microstructure for patterns
• Creating tools to analyse data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators science, mathematics and related fields to apply.

Additional requirements include:

•  Familiarity with machine learning (a plus)
• Experience with data analysis, market research and data modeling (a plus)
• Brilliant problem-solving abilities
• Software development experience as demonstrated through course work, research projects, or open source activities, preferably in C++, Python or R/Matlab
• A passion for new technologies and ideas
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix

We are building PIE (Prodigal Intelligence Engine) - the specialized intelligence layer that transforms AI agents from conversational interfaces into truly intelligent decision-makers. We're building the brain that makes agents understand context, make compliant decisions, and deliver personalized experiences at scale. Read more about PIE here

About the role

As a Senior Software Engineer on the Platform team, you'll architect the systems that power PIE - unifying siloed data sources across CRMs, lending systems, dialers, and communication channels into a unified intelligence layer. You're building infrastructure that doesn't just handle data at scale, but extracts meaning from it, enabling AI agents to make contextually intelligent, compliant decisions in real-time.

This isn't incremental improvement - it's foundational work toward an agentic future where specialized AI agents collaborate autonomously to manage entire collections operations. The systems you build today become the backbone of tomorrow's agentic workforce.

What you'll do

• Design and build the distributed systems infrastructure that powers PIE, processing millions of consumer interactions daily while maintaining sub-100ms response times for real-time agent decision-making
• Build robust data unification pipelines that reconcile and synthesize information across heterogeneous systems (CRMs, LMS platforms, dialers, communication channels) into coherent, actionable intelligence
• Create scalable platforms that can ingest, process, and serve insights from 500+ consumer attributes while supporting complex regulatory and compliance requirements
• Own end-to-end architecture and implementation - from high-level system design through production deployment and operational excellence
• Write production-grade code in Python, Golang, and Node.js that balances performance, maintainability, and speed of iteration
• Conduct rigorous code reviews, tackle complex distributed systems bugs, and take ownership of high-risk technical challenges
• Build comprehensive testing strategies spanning unit, integration, and regression capabilities to ensure reliability at scale
• Implement sophisticated monitoring, observability, and troubleshooting capabilities for complex distributed systems
• Drive improvements in key technical metrics: system availability, data freshness, query performance, and cost efficiency
• Partner with ML teams to build infrastructure that supports model training, inference, and continuous learning loops
• Influence technical direction and architectural decisions that span multiple teams and projects
• Mentor junior engineers through code reviews, architectural discussions, and collaborative problem-solving
• Champion engineering best practices, documentation standards, and operational excellence across the platform team

✅ Requirements

• B.Tech./BE/M.Tech Equivalent in Computer Science or relevant education
• 4+ years architecting and building high-throughput, distributed data platforms that process millions of events daily
• Strong hands-on expertise with NoSQL & SQL databases (MongoDB, DynamoDB, PostgreSQL) and modern data warehouses (Redshift, Snowflake, Databricks BigQuery)
• Deep experience building scalable, secure, highly available software that operates reliably under production load
• Proficiency with AWS services, containerization (Docker/Kubernetes), and modern DevOps practices
• Expertise in observability and monitoring tools (Sentry, CloudWatch, Prometheus, ELK) for troubleshooting production systems
• Strong expertise in troubleshooting complex production issues.
• Good problem solving, critical thinking, and communication skills. Should be able to find the right balance between perfection and speed of execution
• Self-starter and self-learner, who never settles
• Comfortable working in a fast paced environment while continuously evaluating emerging technologies
• Bonus: Foundational knowledge of Machine Learning and AI systems - understanding how models are trained, served, and integrated into production applications
• Bonus: Experience building platforms that power real-time AI/ML workloads or agentic systems

⚙️ Our Tech Stack

• Languages & Frameworks: Python, Golang, Node.js
• Databases: MongoDB, PostgreSQL, Databricks
• Infrastructure: AWS (EKS, EC2, Lambda), Kubernetes, Docker
• GenAI Tooling: Cursor, Claude code, and all other leading AI dev tools 

Mode of Work - In-Office (Powai, Mumbai)

What we offer

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani).