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We're Hiring: Senior Java Backend Developers Locations: Gurgaon / Noida / Bangalore (Only candidates available for F2F Interview in these locations) Experience: 7-14 Years ONLY Joiners: End of July or 30 Days Notice Key Skills: Core Java Spring Boot Microservices Multithreading Cloud (any) Minimum Education: 15 years ( B.Sc , BCA, B.Tech , MCA, M.Sc , M.Tech ) Hiring Process: 1 MCQ Test 2 Face-to-Face Interview (Weekday/Weekend based on panel availability) NOTE: Do NOT apply if your experience is less/more than 710 years Only apply if you are ready for the test and F2F interview Irrelevant profiles will not be considered Send relevant profiles to: harpreet.r@anlage.co.in

Founded : Sept 2023 Team Size: 40-50 Experience : 2+ Years Role Overview We are seeking a highly skilled Quantitative Trader to develop and execute high and mid-frequency trading strategies in global markets. The ideal candidate will have a strong background in market microstructure, ultra-low-latency execution, and statistical arbitrage. As part of our trading team, you will be responsible for designing, back-testing, and optimizing trading algorithms, leveraging cutting-edge AI and high-performance computing to capitalize on ultra-short-term market inefficiencies. You will work closely with quantitative researchers and engineers to enhance execution speed and efficiency while managing real-time trading risk. Key Responsibilities: As a Quantitative Trader, your responsibilities will include: - Designing, implementing, and deploying high-frequency trading algorithms. - Typical strategies deployed include Alpha-seeking strategies and Market Making. - Rigorously back-test strategies on in-house research infrastructure. - Creating tools to analyze data for patterns. - Contributing to libraries of analytical computations to support market data analysis and trading. - Developing, augmenting, and calibrating exchange simulators. Preferred Qualifications: We're seeking candidates with: - A degree in Computer Science, Mathematics, or Engineering from a leading institution. - 2+ years of relevant work experience. - Exceptional analytical and problem-solving skills. - Proficiency in programming, particularly in C++ or C. - Working knowledge of Linux, Python, and shell scripting. - A curious mindset and a passion for understanding complex systems. - A disciplined and consistent work ethic. - Strong communication and interpersonal skills.

Exp - 5-8 years Location - Mumbai / Bangalore Skill- Java Backend Looking for immediate joiners B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. Skills and Experience: 4 + years of experience A proven foundation in core Java and related technologies, with OO skills and design patterns. Track record building high quality software with design-focused and test-driven approaches. Hands-on experience in Java/ Spring Framework/Sprint Boot/Hibernate In depth understanding of concurrent programming and experience in designing high throughput, high availability, fault tolerant distributed applications. Prior experience in message brokers Understanding of relational databases is a must. Demonstrable experience building modern software using engineering tools such as git, maven, unit testing and integration testing tools, mocking frameworks. Strong analytical and software architecture design skills with an emphasis on test driven development Great analytical, problem-solving and communication skills Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions. Nice to have and opportunities to learn: Expertise in building distributed applications using SQL and/or NOSQL technologies like MS SQL, Sybase, Cassandra or Redis A real-world practitioner of applying cloud-native design patterns to event-driven microservice architectures. Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Experience working in an agile development team or on open-source development projects. Experience with optimization, algorithms or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI research environment. Knowledge of modern front-end frameworks such as React, Vue.js or Angular is a plus. Exposure to Docker, Kubernetes, and cloud services is beneficial. A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.

Role: Quant Trader B Tech, MSc or PhD from a top school in Maths, Physics, Computer Science etc. Expertise in statistical techniques, experience conducting research on large datasets Programming proficiency in either C/C++, Java, Python, R, Matlab etc. Ability to work independently or as a part of a team, and to lead a research project from whiteboard to code implementation Prior experience with algorithmic trading or familiarity with high-frequency financial data is a MUST. Minimum 3-4 years of experience in the financial markets Very strong communication skills- ability to present ideas and strategies clearly and interact well with both peers as well as senior management.

Design and architecture systems for Tax functions (including client documentation, reporting and tax withholding) with high scalability, high throughput, and large amounts of data Contribute to the technical design of the strategic engine by evaluating and employing Distributed Caching implementations for Multi-threaded and Concurrent Highly-Scalable processing. Complex Matching Algorithms for highly flexible, optimized and extremely fast matching Organizations enterprise platforms including Forms Engine and Data Lake Design and Implement user workflows using BPMN notation Manage project deliverables and tasks during development, user acceptance (UAT) and production implementation phases Manage user requirements, testing cycles and perform change management duties Develop highly scalable, resilient distributed systems using service oriented paradigms Perform memory, thread and CPU profiling of all core features for high volume processing and preform process analysis using JProfiler and VisualVM, jMap, jStack, jConsole Manage regulatory deliverables within a fast changing environment Work closely with the global counterparts (both technology & user teams) and other technology communities in the firm as part of team charged with managing global tax requirements for GS clients Qualifications: 3+ years of Java development 1+ years of service oriented architecture development Knowledge of Web UI technologies like React and Angular Familiarity with Spring Frameworks Strong skill in databases like DB2, Sybase IQ, MongoDB Knowledge of BPMN modelling and designing 1+ years of experience implementing systems with automated testing using junit, fitnesse, karate, etc Preferred Experience in Financial Services/Industry Messaging related technologies such as JMS, Apache Kafka

Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal.

Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal

As an analyst in the Platforms team your focus will be on building and maintaining our order management and exchange connectivity systems. Your responsibilities will include gathering requirements from internal/external clients, designing and developing features across our various trading platforms, focused on Direct Market Access and Market Data systems and deploying your solutions. Our global team interfaces with clients, sales, trading, compliance, legal and other strat & engineering teams in the firm on a regular basis and plays a critical role in sustaining Goldman Sach s Electronic Trading business. Responsibilities Design, build and maintain a high-performance, yet nimble and adaptive trading platforms for internal and external clients. Understand US Cash and Options market structure, regulations, exchange service offeringsincluding order entry and market data, and implement changes to these on an on-going basis. Communication with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc. Basic Qualifications Bachelor s degree in Computer Science or Engineering with 1.5+ years of relevant work experience Proficiency in C++ or another systems programming language Strong knowledge of data structures, algorithms and design patterns Experience with Linux operating system Strong communication skills and the ability to work in a team Preferred Qualifications Experience with building systems with strict requirements for low-latency (microseconds count) and deterministic performance Experience with networking, UDP multicast and distributed systems Experience with developing order management and exchange connectivity or market data processing systems

You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price-making, risk management and execution. You ll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. Responsibilities & Qualifications Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal.

You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price-making, risk management and execution. You ll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. Responsibilities & Qualifications Principal Responsibilities Analyze trading system performance and identify areas for improvement. Generate ideas for system enhancements that drive commercial performance. Implement, test and deploy these ideas. Improve the safety and reliability of trading systems. Work constructively in collaboration with other team members. Manage work to balance the short-term needs of the business with strategic enhancements. Experience/Skills Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc. Strong software engineering background. Proven ability to analyze data and draw useful commercial conclusions. Good communication skills. Experience of the following would be advantageous Securities/trading experience. Multi-threaded/concurrent programming. Java/C++ performance tuning. Low-latency systems, including messaging, network protocols, network I/O in Java, C/C++, JNI. Hardware stack and hardware architecture from a latency perspective. Know your way around a Linux terminal.

Position: Senior Software Engineer Location: Ahmedabad Job Type: Full Time Roles & Responsibilities: Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture Provide software development plans that meet future needs of clients and markets Evolve the new software platform and architecture by introducing new components and integrating them with existing ones Perform memory, cpu and resource management Analyse stack traces, memory profiles and production incident reports from support teams Propose fixes, enhancements to existing trading systems Adhere to release and sprint planning with the Quality Assurance Group and Project Management. Work on a team building new solutions based on requirements and features Attend and participate in daily scrum meetings Technical Skills Required : Bachelors or Masters degree in Computer Science or Computer Engineering or Management Information Systems Proficiency in JavaScript with a minimum of five years of direct experience in team-based development Experience with multi-threaded browser Familiarity of server development and Amazon Web Services (AWS) cloud technologies Strong object oriented code design understanding SOLID design patterns Familiarity with agile/iterative development methodologies Experience developing on large scale systems Solid debugging and performance tuning skills Competitive Benefits Offered By Our Client: Relocation Support: Our client offers an additional relocation allowance to assist with moving expenses. Comprehensive Health Benefits: Including medical, dental, and vision coverage. Flexible Work Schedule: Hybrid work model with an expectation of just 2 days on-site per week. Generous Paid Time Off (PTO): 21 days per year, with the ability to roll over 1 day into the following year. Additionally, 1 day per year is allocated for volunteering, 2 training days per year for uninterrupted professional development, and 1 extra PTO day during milestone years. Paid Holidays & Early Dismissals: A robust paid holiday schedule with early dismissal on select days, plus generous parental leave for all genders, including adoptive parents. Tech Resources: A rent-to-own program offering employees a company-provided Mac/PC laptop and/or mobile phone of their choice, along with a tech accessories budget for monitors, headphones, keyboards, and other office equipment. Health & Wellness Subsidies: Contributions toward gym memberships and health/wellness initiatives to support your well-being. Milestone Anniversary Bonuses: Special bonuses to celebrate key career milestones. Inclusive & Collaborative Culture: A forward-thinking, culture-based organisation that values diversity and inclusion and fosters collaborative teams.

Role & responsibilities Strategic Leadership Oversee IT infrastructure across data centres, firewall policies, provisioning, and endpoint security. Lead and manage L1/L2 IT teams; enforce high operational standards via KPIs and SOPs. Create and continuously refine SOPs for governance, disaster recovery, and security compliance. Data Center & Server Operations Lead deployment and maintenance of enterprise-grade servers (Dell, Cisco, Supermicro, Huawei). Manage co-location setups (NSE, BSE, STT, Yotta): racking, liquid cooling, cabling, power planning. Configure BIOS overclocking, IPMI/iLO access, network booting, and remote diagnostics. Linux & System Administration Expertly install, tune, and secure Linux distributions (Rocky, RHEL, Ubuntu), with kernel upgrades and repo/yum management. Deploy trading platforms and monitoring agents on custom-tuned Linux boxes. Support Windows Server environments and virtualisation stacks (VMware, Xen, Hyper-V). Networking & Security Manage deployment and optimisation of SFP/QSFP, Twinax, MM/SM cabling, and breakout patching. Oversee firewall rulesets, VLANs, routing policies, and endpoint protections. Work closely with trading teams to troubleshoot and minimise system/network latency. Procurement & Vendor Management Lead procurement of compute/network/storage infrastructure in alignment with trading needs. Maintain vendor relationships, warranties, and SLAs for all hardware/software systems. Audit & Compliance Conduct system-level audits, performance benchmarks, and capacity Ensure compliance with NSE/BSE regulatory requirements for co-located environments. Job Requirements 5+ years in IT infrastructure roles, including 3+ years in trading or mission-critical systems leadership. Mastery in Linux system administration with experience in: Kernel tuning and driver integration (e.g., Mellanox, SolarFlare, Exanic). Custom performance profiles, Yum/Repo configurations. Proven success managing full lifecycle deployments in co-location trading setups. Expertise in BIOS tuning, server hardware builds, and virtualisation platforms. Comfortable navigating NSE/BSE or similar institutional-grade environments. Strong team management, documentation, and technical troubleshooting abilities. Advanced Diploma in Computer Applications / Hardware Networking or equivalent.

Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities Start here. Your Impact The primary focus is the understanding, projection and optimization of the Equity funding and Capital footprint, together with the evolving suite of additional constrained resources. Projects will involve, The design and implementation of liquidity risk models. Understanding/optimizing the funding footprint of PB clients and innovate ways of improving returns. Structuring of new funding products to generate funding for EQ division, that comply with increasingly complex regulatory landscape. Implementation and management of internal carry frameworks to pass the correct incentives down to trading teams.

Exp - 4-7 years Location - Gurgaon Skill- Java Backend B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. Skills and Experience: 4 + years of experience A proven foundation in core Java and related technologies, with OO skills and design patterns. Track record building high quality software with design-focused and test-driven approaches. Hands-on experience in Java/ Spring Framework/Sprint Boot/Hibernate In depth understanding of concurrent programming and experience in designing high throughput, high availability, fault tolerant distributed applications. Prior experience in message brokers Understanding of relational databases is a must. Demonstrable experience building modern software using engineering tools such as git, maven, unit testing and integration testing tools, mocking frameworks. Strong analytical and software architecture design skills with an emphasis on test driven development Great analytical, problem-solving and communication skills Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions. Nice to have and opportunities to learn: Expertise in building distributed applications using SQL and/or NOSQL technologies like MS SQL, Sybase, Cassandra or Redis A real-world practitioner of applying cloud-native design patterns to event-driven microservice architectures. Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Experience working in an agile development team or on open-source development projects. Experience with optimization, algorithms or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI research environment. Knowledge of modern front-end frameworks such as React, Vue.js or Angular is a plus. Exposure to Docker, Kubernetes, and cloud services is beneficial. A degree, certifications or opensource track record that shows you have a mastery of software engineering principles.

Role Summary The ideal candidate will design and execute profitable trading strategies, leveraging statistical and quantitative methods. You will closely with related team and management to refine trading systems and maximize performance across diverse markets. Key Responsibilities Design Profitable Low/High-Frequency Options Market-Making Strategies. Develop advanced algorithms to efficiently quote and trade options in high-frequency environments. Analyze large datasets to identify profitable trading opportunities. Optimize strategies for consistent profitability. Actively monitor and execute trading strategies across multiple markets and asset classes. Manage and mitigate risks associated with trading activities. Strategy Development and Optimization. Collaborate with team to create, test, and deploy trading strategies. Evaluate the performance of strategies and provide actionable insights. Analyze market patterns and identify potential trading opportunities. Conduct research on new trading opportunities using statistical and machine learning techniques. Stay updated on market trends, trading technologies, and regulatory changes. Qualifications & Experience Bachelor's or Master's degree in Finance, Mathematics, Economics, Computer Science, or a related field. Minimum 3 year in quantitative research, statistical analysis, or related fields. Preferred Skills Experience in high-frequency trading, options market-making, and managing PnL effectively. Experience with time-series analysis and predictive modeling. Familiarity with low-latency trading infrastructure. Strong understanding of financial instruments and derivatives. Knowledge of risk management and portfolio optimization techniques. Proven ability to develop and implement advanced trading algorithms. Proficiency in Python and R for statistical and data analysis. Familiarity with C++ for performance optimization (preferred). Knowledge of Linux/Unix operating systems. Ability to analyze large datasets to uncover trading opportunities and market inefficiencies. Strong quantitative aptitude and analytical skills. Strong interpersonal and collaboration skills to work within a multidisciplinary team. Effective communication and decision-making abilities under pressure. Experience applying machine learning techniques in financial markets. What We Offer A competitive compensation structure based on performance. Access to cutting-edge technology and infrastructure. A collaborative environment with experienced professionals. Opportunities for growth and continuous learning. Application Process Interested candidates are encouraged to submit their resume and a cover letter to jobs@stokhos.in.

*Architect and implement solutions that enable customers to get most out of what client can offer. *You will develop performant and robust Java applications while supplying continued evaluation and advancement of web technologies in the organization. Required Candidate profile Work on a high-velocity scrum team Architect & implement scalable end-to-end Web applications Help team lead to facilitate development processes Provide estimates & milestones for features/stories