Your Role

We’re looking for an Engineering Manager to join our first product teams in Mumbai. You’ll be improving the operations of our internal team of sports analysts across Hudl Assist, Wyscout, InStat and Volleymetrics products. These products are used by thousands of teams around the world, from youth clubs to the pros. 

Example projects might include:

• Improving the tools used to deliver training to sports analysts
• Instrumenting our processes to facilitate continuous improvement for our operations team
• Iterating on manual data collection workflows to improve speed and accuracy
• Automating workflows using AI/ML, reducing manual effort, and improving scalability of our data pipelines

As an Engineering Manager, you’ll

• Be responsible for a diverse team. You’ll support your Engineers as they develop, test and maintain technical solutions. You’ll be a working manager, expected to balance management responsibilities with code contributions to ensure the team meets its commitments and delivers business impact.
• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver product improvements for our customers. With our global team, these team members and stakeholders are located all over the world—so you may need to work evenings occasionally.
• Help improve analysis. You’ll work to improve training tools, processes and manual data collection workflows used by our sports analysts to improve their speed and accuracy.
• Automation & AI/ML. You’ll also play a key role in evolving our workflows through automation and AI/ML, helping reduce manual effort and improve scalability across our operations"

This role requires 4 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Mumbai.

Must-Haves

• Formal management experience. You have multiple years of experience managing Software Engineers and know how to guide teams to deliver business impact. You’ve taken the lead on tackling ambiguous technical challenges, proposing solutions to upcoming problems, and providing technical input on others’ work.
• Experience in mature, full-stack web applications. You’ve spent several years in a role, or roles, that had you building across all levels of a web application, from the client-side code, all the way down to the database. You have a professional background in TypeScript, React, GraphQL, C#, Java, PHP, MongoDB, MySQL and/or AWS
• English language proficiency. You have strong verbal and written communication skills. 
• Flexible schedule. We strive to maintain a healthy work-life balance, but in this role, it’s necessary to overlap your schedule with stakeholders and collaborators across time zones.

 Nice-to-Haves

• Experience working with AI/ML systems, particularly in applying models to automate workflows or process large datasets

Our Role

• Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., national and public holidays and timeout (meeting-free) days) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas.
• Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. We'll also provide you the tech stack and hardware to do your best work.
• Cover your medical insurance. Comprehensive medical insurance for employees, with partial reimbursement available for dependent coverage.
• Retiral benefits. We offer a Provident Fund and Gratuity.

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

We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior-most ML role in the company — partnering directly with the CTO as a peer technical leader, defining the multi-year ML vision, building and leading a world-class team, and translating cutting-edge research into production systems that move the needle for over 100 customers and millions of consumers. You'll set the bar for technical excellence, hire and develop the next generation of ML leaders, and shape what consumer finance intelligence looks like over the next decade. If you've operated at this level before — or are ready to step into it at a company where ML is the engine of the product — we want to talk.

Responsibilities:

• Own the ML function end-to-end — vision, roadmap, team, delivery, and measurable business impact across classical ML, NLP, GenAI, and Agentic AI
• Partner with the CTO as the senior ML leader to set company-wide technical direction and shape the long-term roadmap for Prodigal's Intelligence Engine
• Build and lead a high-performing ML organization — hire, mentor, and develop ML engineers, applied scientists, and tech leads across multiple pods
• Translate research into product — drive the application of LLMs, Agentic AI, the modern NLP stack, recommendation systems, and classical ML into production systems serving 100+ customers
• Set technical standards for model development, deployment, monitoring, evaluation, and experimentation that scale across the org
• Architect data and ML infrastructure in partnership with the platform and engineering teams to support large-scale training and reliable, low-latency inference
• Communicate strategy and outcomes clearly to the founders, board, customers, and broader engineering organization
• Represent Prodigal externally — at conferences, in research collaborations, and as a senior voice in the consumer finance AI community
• Stay at the frontier of ML and GenAI research, identifying where new techniques unlock product and business advantage
• Collaborate cross-functionally with product, engineering, GTM, and customer success leaders to ensure ML investment ties directly to revenue, retention, and customer outcomes

Requirements:

• 10+ years of experience in machine learning and software development at a tech or product company, with 4+ years leading ML teams (managing engineers and/or tech leads)
• Proven track record of shipping ML products in production at scale with measurable business impact
• Deep technical fluency across classical ML, deep learning, and the modern NLP/LLM stack — you can still go deep in design reviews, not just review at the surface
• Strong coding skills in Python. Hands-on with PyTorch, scikit-learn, Pandas, and Spark
• Demonstrated success hiring, mentoring, and growing ML talent — including team leads and senior engineers
• Strong executive communication and the ability to set technical direction with founders, peers, and the board
• A bias for outcomes — you connect model work to revenue, engagement, and operational metrics

Preferred Qualifications:

• Experience as a founding ML hire, ML lead, or applied science leader at a high-growth AI/ML product company
• Background in voice AI, conversational AI, speech, NLP on unstructured text, or fintech/lending domains
• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
• Track record of running A/B testing and experimentation programs at scale
• Patents, publications, or open-source contributions; strong institutional pedigree (IIT, BITS, NIT, IISc)
• Experience scaling an ML org through a hypergrowth phase

Job Benefits

• GenAI at the core – Lead the ML function at a company where AI isn't a feature, it's the product. Shape groundbreaking work that redefines 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: https://www.youtube.com/embed/FTWlN9fwiIA?feature=shared

We like to say, “Come to MongoDB and get your Masters in Sales” where we spend 7x the industry average on rep enablement. We’re investing in ways to not only attract, hire, and develop top talent but also ensure our Account Executives are set up for long-term success on their individual career paths.

Come & join our team and be at the forefront of what we believe is the perfect blend of career opportunity, innovative technology, and top-tier enablement! 

We are looking to speak to candidates who are based in the Bengaluru, Gurugram or Mumbai office for our hybrid working model.

The Opportunity

We’re looking for reps that are hungry to sell into the next up-and-coming companies in India that are disruptive within their respective industries. We have over 200M downloads and work with innovative corporate companies like Zepto, Ubuy, SonyLIV, Zomato, Canara HSBC Life and others that are leveraging our technology every single day. 

According to the IDC, there are over 500 million new applications being built over the next 5 years and you would be tasked with landing a high volume of those quality new logos. 

Primarily selling the MongoDB Atlas platform, the most advanced cloud database service on the market, you have the opportunity to directly influence MongoDB’s upward growth trajectory.

Day to Day

• Cultivate sales through outbound prospecting and inbound leads
• Meeting customers in-field and closing deals 
• Prospect into CTOs, Engineering/IT leaders, and technical end users
• Meet and exceed individual monthly, quarterly, and annual Quarterly targets
• Manage the full sales cycle for both Atlas and Professional Services
• Manage a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach
• Handle quote creation and order processing
• Collaborate with the Sales ecosystem like Marketing, Account Development, Solutions Architects, and others.

What you bring to the table

• 5 years to 20 years of experience in a full sales cycle role (we have different roles for varying levels of experience)
• Bachelors in Engineering/Bachelor of Technology preferred
• Experience working with Strategic/Named/Enterprise Accounts, Government and PSU customers or Digital Natives/Startups
• Demonstrated ability to open new accounts and run a complex sales process
• Familiarity with software, database, infrastructure, or open source technology a plus (NOT a pre-requisite)
• Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
• Excellent presentation, verbal, and written communication skills
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) a plus

Why You Should Apply

• As we move toward an AI-driven era by 2030, MongoDB is uniquely positioned to power modern AI applications with the flexibility and scale required to manage unstructured data.
• We are leading the charge when it comes to the intersection of product-led growth and sales-led execution
• Great earning potential 
• Restricted stock options for new hires and a competitive Employee Stock Purchasing Program 
• Welcoming and inclusive workplace - Meet MongoDB’s Employee Affinity Groups! Find out more here.
• Continuous career development
• Sales training in MEDDPICC and Command of the Message
• MongoDB Onboarding Sales Bootcamp
• Internal mentor and buddy programs

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 over 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.

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

Required Skills and Experience:

• 7+ years of experience in network engineering roles
• Relevant experience or certification (e.g. CCNP or JNCIP Data centre, Enterprise or Service provider)
• Strong knowledge of BGP, OSPF, routing policies, and network troubleshooting
• Strong understanding of TCP/IP, DNS, NAT, routing, switching, and load balancing
• Hands-on experience with Cisco networking platforms
• Ability to troubleshoot layer 2 (ARP and MAC address tables as well as LACP and MC-LAG)
• Ability to troubleshoot DNS problems
• Experience with common network cabling
• Kubernetes CNI (Calico, Cilium)
• Cloud & Hybrid Networking
• Experience with hybrid cloud networking including site-to-site VPNs and private connectivity (AWS Direct Connect, GCP Interconnect)
• Understanding of cloud-native networking services (VPC, Transit Gateway, Cloud Router)
• Automation & Infrastructure-as-Code
• Working knowledge of Terraform for network infrastructure provisioning
• Experience with configuration management tools (Ansible, or similar)
• Observability & Operations
• Experience implementing network monitoring and alerting systems
• Understanding of network performance metrics and logging
• Ability to create and maintain runbooks and documentation
• Security
• Experience implementing network security controls and segmentation
• Understanding of firewall management and security policies
• Familiarity with network access control concepts

Preferred skills:

• EVPN
• Experience with IPv6 rollout
• Juniper specific knowledge and experience
• Linux CLI

Location - Navi Mumbai, India

Position Summary

We are seeking a highly skilled Infrastructure Security Engineer-L2 (Palo Alto & NGFW) responsible for implementation, administration, and support of Palo Alto Next-Generation Firewalls (NGFW) across enterprise and cloud environments. The role involves handling day-to-day operations, incident management, troubleshooting, and TAC coordination, along with contributing to firewall migrations and security enhancements. The engineer will play a key role in maintaining secure and stable network infrastructure for critical business operations.

Key Responsibilities

• Provide L2 support for Palo Alto NGFW environments, including incident handling, troubleshooting, and resolution.
• Manage day-to-day firewall operations, including policy changes, NAT configurations, and VPN management.
• Perform advanced troubleshooting for network and security issues across on-prem and cloud environments (AWS, Azure, GCP, OCI).
• Handle TAC coordination with vendors for critical and complex issues.
• Configure and manage:
• IPSec VPNs, Remote Access VPNs, and Clientless VPNs
• Security policies, NAT rules, and ACLs
• Work on Palo Alto Panorama for centralized management, including templates, log collectors, and policy deployment.
• Implement and support Next-Generation Firewall features such as:
• Threat Prevention
• URL Filtering
• Content Filtering
• Data Loss Prevention (DLP)
• User-ID
• Participate in and execute firewall migration projects (e.g., Cisco ASA to Palo Alto).
• Support IDS/IPS administration and monitoring, including performance tuning and alert handling.
• Perform change management activities in line with ITIL processes.
• Prepare and maintain technical documentation including HLD, LLD, SOPs, and knowledge base articles.
• Conduct security assessments, gap analysis, and recommend improvements in security architecture.
• Collaborate with L3 teams and stakeholders for design improvements and complex issue resolution.
• Provide inputs for network security strategy, transformation projects, and infrastructure planning.

Technical Skills

• Strong hands-on experience with Palo Alto NGFW (PAN-OS) and its advanced features.
• Working knowledge of Palo Alto Panorama (templates, device groups, log collectors).
• Experience with Cisco ASA firewalls and firewall migration projects.
• Strong understanding of:
• Network Security concepts
• OSI Model & TCP/IP protocols
• Routing & Switching fundamentals
• Expertise in:
• IPSec VPN configuration & troubleshooting
• NAT, ACLs, and security policy management
• Exposure to cloud security networking in:
• AWS
• Azure
• GCP
• OCI
• Knowledge of IDS/IPS systems and threat prevention mechanisms.

Basic Qualifications

• Bachelor’s degree in Engineering (B.E./B.Tech – CSE, IT, ECE) or MCA / M.Sc (Computer Science).
• Minimum 5+ years of experience in network security and firewall management.
• Hands-on experience in Palo Alto firewall administration and troubleshooting.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• PCNSE (Palo Alto Networks Certified Network Security Engineer) certification.
• CCNP Security or equivalent certification.
• Experience in enterprise datacentre and cloud security deployments.

Must-Have Skills

• Backend: Golang (mandatory) / Java, REST APIs, Microservices, Event-driven architecture
• Frontend: React.js (mandatory), Material UI
• Databases: PostgreSQL / RDBMS, Caching (Redis / Memcached)
• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD
• Messaging: Kafka or similar
• Strong system design, performance optimization, and debugging skills

 General Summary:

The Senior Software Engineer I is responsible for developing high-quality, innovative, fully performing software in compliance with coding standards. This individual works in partnership with cross-functional teams to ensure that software deliverables, including designs, codes, and tests, are completed in a timely manner, while remaining aligned with industry and organizational standards.

Essential Duties & Responsibilities:

• Provides support to the Engineering teams, with a high attention to detail
• Research, analyzes, and documents findings
• May influence others within the Software Engineering team through the explanation of facts, policies, and practices
• Designs, builds, and maintains large-scale production services, web applications, data pipelines, and streaming systems
• Works on systems critical to the company’s current and future operations
• Debug production issues across services and multiple levels of the stack
• Assists with the improvement of organizational engineering standards, tooling, and processes
• Participates in the testing process through test review and analysis, test witnessing, and certification of software
• Evaluates codes to ensure validity, proper structure, alignment with industry standards, and compatibility with operating systems
• Maintains an understanding of current technologies or programming practices through continuing education, reading or participation in professional conferences, workshops, and/or groups

Knowledge, Skills, and/or Abilities Required:

• Ability to work independently on projects and processes with general supervision
• Practical knowledge of the applicable work area
• Ability to situationally adapt and understand new technology/processes as per business requirements
• Knowledge of a variety of the field's concepts, practices, and procedures
• Ability to work constructively and independently under stress and pressure in a fast-paced, multi-tasking environment
• Ability to interact positively and openly with colleagues and external business contacts, with strong verbal and written communication skills
• Knowledge of programming languages and software basics
• Knowledge of relevant software development tools, including version control, build processes, debuggers, and test frameworks

 Educational/Vocational/Previous Experience Recommendations:

• Bachelor’s degree in a related field or equivalent business experience
• 5+ years of relevant experience

Working Conditions:

• On-site / Hybrid, depending on location

 About Druva :

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

We’re looking for a highly-motivated Regional Field & Channel Marketing Manager with experience across multiple marketing disciplines to deliver/execute the marketing plan in India. This is a brand new position that will work closely with the India Sales & Channel team, along with the broader APJ/ International & corporate marketing teams to execute an aligned and comprehensive marketing strategy that drives results.

The primary focus of this role is to support key regional sales and marketing initiatives, help grow the Druva brand, generate demand, and increase overall pipeline & revenue contribution.  We need a self-starter with collaborative spirit who thrives in a dynamic, hyper-growth environment. This exciting position reports to the APJ Marketing Lead and is part of the International Marketing whose charter is scaling Druva’s business across APJ and EMEA.

Primary Responsibilities

• Develop the regional marketing plan and manage associated budgets
• Leverage Global and APJ campaigns as relevant for the region. Work closely with campaign managers and APJ marketing leader to right-size, localize, and package corporate/ regional campaigns for the India market
• Define and rollout new campaigns that support specific, unique regional requirements and market opportunities
• In alignment with the regional Channel strategy, own the Channel Marketing plans & execution with select regional partners
• In collaboration with Alliance & Sales colleagues, manage campaign creation and execution with key Alliance partners like AWS, Dell and Microsoft
• Own the annual regional events plan (virtual & F2F when applicable), including contract negotiation, pre-& post-event actions. Align Marketing leadership on budget approvals & requirements
• Act as the primary local marketing liaison for SDRs, Field & Channel Sales teams in India
• Manage the regional external agency relationships for paid media,  demand programs, events. Ensure all activities are executed on time and within set budget.
• Work closely with the International Marketing Ops lead to follow consistent lead upload/activity tracking processes and regional campaign set up.
• Work with Marketing Leadership to establish benchmarks for country-specific performance measurement, ensuring all activities align to set KPI’s and GTM targets
• Measure and control program effectiveness to ensure demonstrable return on investment for all activities
• Collaborate closely with the PR manager for the region to drive increased awareness and internal appreciation of marketing activities: ensure circulation of results and follow up actions to all stakeholders
• Provide quarterly marketing reviews and analysis of comprehensive performance to regional & APJ Marketing & Sales Leadership.
• Collaborate with HQ to build aligned social media, PR & AR efforts into regional marketing plan

Required Skillset

• Can thrive in a fast-paced, startup- environment with ability to multi-task and operate to a high standard
• Resolute in prioritising: focus on projects and activities that are closely aligned to strategy and will make the biggest impact
• Results-oriented with proven experience delivering effective awareness, demand generation, and channel marketing activities that deliver measurable and repeatable results
• Hands-on experience managing end-to-end events & trade shows, both virtual and physical (when environments allow), ensuring top-notch execution and an emphasis on results.
• Experience working across multiple countries & an understanding of the varying market dynamics/needs
• Ability to build rapport and strong relationships with Sales colleagues, establishing credibility as key member of the team and the marketing expert for the region
• Previous experience working for US HQ’d company with matrix functions across Global and APJ
• Team player with can-do attitude
• Exceptional communicator
• Ambitious self-starter
• Reasonable understanding of SFDC and Marketing Automation platforms (Marketo, Eloqua, etc)
• Willingness to travel as needed (when it’s safe to do so & current restrictions are lifted)

Your Education, Experience & Certification:

• Minimum 5+ years in B2B tech marketing with demonstrable, proven successes
• Experience in SaaS, Cloud, or related technologies is a Plus!
• Strong problem-solving and troubleshooting skills
• Understanding of the demand funnel and conversion rates
• Bachelor’s degree in a related field
• Strong Commercial/Business acumen

Work Location: Bengaluru / Mumbai 

We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment.

If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you.

About Blenheim Chalcot:

Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million.

The Role:

As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on.

Key Responsibilities:

Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include.

• Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement.
• Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines.
• Provide technical guidance and expertise to the team, promoting best practices in engineering.
• Collaborate with cross-functional teams to understand requirements and deliver effective solutions.
• Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture.
• Ensure data integrity and quality across various data sources.
• Support data-driven decision-making by providing clean, reliable, and timely data.
• Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
• Conduct exploratory data analysis to uncover patterns and trends.
• Identify opportunities for process improvement and drive continuous improvement in operations.
• Stay updated on industry trends, technologies, and best practices in engineering.

About You:

We are seeking to onboard candidates with a track record of leading complex delivery, demonstrating technical depth and pragmatic leadership. You’re hands‑on when it matters, coach others effectively, and make clear design trade‑offs that improve customer and business outcomes. You communicate crisply, collaborate across functions, and keep teams focused on the few things that move the needle.

The Ideal Candidate:

• Professional experience in full-stack software engineering with evidence of architecting and delivering production systems at scale.
• Proven experience mentoring and developing engineers and raising code quality standards.
• Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java.
• Extensive experience with database systems, including SQL and NoSQL databases.
• In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.).
• Experience with CI/CD practices for data solutions.
• Experience leveraging AI tools (GitHub Copilot, Claude etc) and building AI-enabled features (e.g., LLMs, automation workflows, prompt engineering, AI-assisted development) to enhance product capabilities and engineering productivity.
• Proven ability to take ownership over outputs and drive complex data projects to completion.
• Highly adaptable and comfortable working in ambiguous, problem-solving environments.
• Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales.
• Excellent communication, leadership, and collaboration skills.
  

Behaviours that we look for 

• Rigorous problem-solving and systems thinking. Breaks down complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures.
• Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start.
• Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring.
• Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery.
• Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact.

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with our Talent Acquisition team and a member of the Engineering Centre of Excellence, followed by further interviews with the Engineering Centre of Excellence team.

Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

#LI-PS1

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.

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

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.

SUMMARY

As a Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Director, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Role Purpose

 The QA Engineer is responsible for ensuring the quality, reliability, and performance of enterprise-level applications, particularly within financial and backend systems. This role involves designing and executing comprehensive testing strategies, developing automation frameworks, and collaborating with cross-functional teams to deliver high-quality software solutions. The individual will act as a quality advocate, providing guidance on QA processes, improving testing efficiency, and ensuring adherence to industry standards and best practices.

Key Responsibilities

• Take ownership of end-to-end QA activities, including requirement analysis, test planning, execution, and reporting.
• Collaborate with Technology Leads, Product Managers, and Business Teams to align testing strategies with business goals.
• Design, develop, and maintain automated test cases, particularly for APIs and backend systems.
• Define and implement test strategies, frameworks, and processes to improve overall testing efficiency and coverage.
• Perform manual and automated testing for enterprise-class, financial, middleware, and backend applications.
• Analyze complex system behaviors and develop detailed test plans to ensure comprehensive validation.
• Execute API testing using tools like Postman and automate using frameworks such as Rest Assured with Java.
• Conduct UI testing and automation (where applicable) using tools like Selenium WebDriver.
• Write and execute SQL queries for data validation and backend verification.
• Debug application issues using server logs and backend diagnostics.
• Coordinate testing activities across application enhancements and technical operations.
• Participate actively in Agile ceremonies such as stand-ups, sprint planning, and retrospectives.
• Track defects, manage test cases, and report issues using tools like JIRA, ALM, TestRail, or X-Ray.
• Communicate project status updates, including risks, progress, KPIs, and quality metrics to stakeholders.

Key Skills, experience and Competencies

• 5–8 years of experience in Quality Assurance and Testing, with at least 2 years of hands-on automation experience.
• Strong expertise in manual testing of enterprise and financial applications, including middleware and backend systems.
• Proficiency in API testing tools such as Postman and SOAP UI.
• Hands-on experience in API automation using Rest Assured with Java.
• Familiarity with UI testing and automation tools like Selenium WebDriver.
• Strong knowledge of SQL for writing and understanding complex queries and stored procedures.
• Experience working with Unix/Linux environments.
• Exposure to backend automation, batch job testing, and log-based debugging.
• Good understanding of Agile methodologies and QA best practices.
• Experience with test management and defect tracking tools (e.g., JIRA, ALM, TestRail, X-Ray).
• Knowledge of AWS or cloud platforms is an added advantage.
• Understanding of financial systems, payment gateways, e-wallets, and related workflows.
• Strong analytical, problem-solving, and ownership mindset.
• Excellent communication and collaboration skills.
• Ability to work independently as well as within a team environment.
• Working knowledge on Agentic AI with Github Co-pilot or relevant such AI tool.

Qualifications (if required)

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in QA, Automation Testing, or Agile methodologies are a plus.

Who We Are:

Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality.
 
Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S.
 
We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.
 
Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
 
To learn more about our businesses and products, visit www.galaxy.com.

What We Value:

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

• Seek Excellence.
• Be Selective To Be Effective.
• Be Highly Aligned, Loosely Coupled.
• Disagree Transparently.
• Encourage Independent Decision-Making.
• Build Dream Teams.

Who You Are:

Galaxy is hiring a Data Engineering Manager to lead and grow our Data Engineering team. This role is ideal for an experienced data engineering professional who has a strong technical foundation and a track record of delivering scalable data platforms in fast-paced environments.
As a Data Engineering Manager, you will balance hands-on technical leadership with team management, driving execution on key data initiatives while mentoring engineers and improving development practices.

What You’ll Do:

• Partner across Galaxy’s business lines (Trading, Custody, Asset Management, Mining) to build and enhance a reliable and scalable data platform
• Drive execution of the data engineering roadmap in alignment with business priorities
• Lead and mentor a team of data engineers, supporting their growth and ensuring high-quality delivery
• Design, build, and maintain scalable data pipelines (batch and streaming)
• Develop and operate high-throughput, low-latency data processing systems
• Work within the Databricks and Spark ecosystem to support large-scale data workloads
• Build and maintain cloud-native data solutions on AWS
• Leverage dbt for transformation, data modeling, testing, and documentation
• Use Airflow (or similar orchestration tools) to manage and schedule data workflows
• Establish and enforce best practices around code quality, testing, CI/CD, monitoring, and reliability
• Collaborate closely with product, analytics, and infrastructure teams to deliver impactful data solutions
• Contribute to technical design decisions and continuously improve system performance and developer productivity

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 8+ years of experience in data engineering or distributed systems
• 4+ years of experience managing or mentoring engineers
• Strong hands-on experience with AWS, Databricks/Spark, and modern data architectures
• Experience building and operating both batch and streaming data pipelines
• Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration
• Solid understanding of data modeling, data quality, and production data systems

What We Offer:

• Competitive base salary and discretionary bonus
• Competitive paid time off
• Great office location in central Mumbai (BKC) 
• Company-paid health and protective benefits for employees and their eligible dependents
• Free virtual coaching sessions through Headspace
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues

*Benefits may vary depending on location.

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.

SLSQ427R256

Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

General Summary:
The Senior Software Engineer I is responsible for developing high-quality, innovative, fully performing software in 
compliance with coding standards. This individual works in partnership with cross-functional teams to ensure that 
software deliverables, including designs, codes, and tests, are completed in a timely manner, while remaining 
aligned with industry and organizational standards

Essential Duties & Responsibilities:
• Provides support to the Engineering teams, with a high attention to detail
• Researches, analyzes, and documents findings
• May influence others within the Software Engineering team through the explanation of facts, policies, and practices
• Designs, builds, and maintains large-scale production services, web applications, data pipelines, and streaming systems
• Works on systems critical to company’s current and future operations
• Debugs production issues across services and multiple levels of the stack
• Assists with improvement of organizational engineering standards, tooling, and processes
• Participates in the testing process through test review and analysis, test witnessing, and certification of software
• Evaluates codes to ensure validity, proper structure, alignment with industry standards, and compatibility with operating systems 
• Maintains an understanding of current technologies or programming practices through continuing education, reading or participation in professional conferences, workshops, and/or groups

Knowledge, Skills, and/or Abilities Required:

• Strong hands‑on experience in Golang
• Expertise in any cloud technologies, AWS preferred
• Experience with Microservices
• Proficiency in GitLab for CI/CD pipeline
• Knowledge of NoSQL databases
• Ability to work independently on projects and processes with general supervision
• Practical knowledge of applicable work area
• Ability to situationally adapt and understand new technology/processes as per business requirement
• Knowledge of a variety of the field's concepts, practices, and procedures
• Ability to work constructively and independently under stress and pressure in a fast paced, multi-tasking environment
• Ability to interact positively and openly with colleagues and external business contacts, with strong verbal and written communication skills
• Knowledge of programming languages and software basics
• Knowledge of relevant software development tools including version control, build processes, debuggers, and test frameworks

Educational/Vocational/Previous Experience Recommendations:
• Bachelor’s degree in related field or equivalent business experience
• 4+ years of relevant experience

Working Conditions: Pune / Mumbai (Hybrid)

Join our dynamic and high-impact Data team as a Data Engineer, where you'll be responsible for safely receiving and storing trading-related data for the India teams, as well as operating and improving our shared data access and data processing systems. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. The ideal candidate should have work experience in systems engineering, preferably with prior exposure to financial markets and with proven working knowledge in the fields of Linux administration, orchestration and automation tools, systems hardware architecture as well as storage and data protection technologies.

Your Core Responsibilities:

• Manage and monitor all distributed systems, storage infrastructure, and data processing platforms, including HDFS, Kubernetes, Dremio, and in-house data pipelines
• Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions
• Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries
• Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions

Your Skills and Experience:

• 5–7 years of experience in managing large-scale multi-petabyte data infrastructure in a similar role
• Advanced knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments
• Deep expertise in at least one of the following technologies: Kafka, Spark, Cassandra/Scylla, or HDFS
• Strong working knowledge of Docker, Kubernetes, and Helm
• Experience with data access technologies such as Dremio and Presto
• Familiarity with workflow orchestration tools like Airflow and Prefect
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Proficiency with CI/CD pipelines and version control systems like Git
• Understanding of best practices in data security and compliance
• Demonstrated ability to solve problems proactively and creatively with a results-oriented mindset
• Quick learner with excellent troubleshooting skills
• High degree of flexibility and adaptability

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

Ready to Make an Impact?

Join our talent community, hear about exciting career opportunities, and get tailored job recommendations based on your interests.

If you’re looking for a challenge, if you love finding things that need interesting solutions, AlphaSense is a great place to come. It is a place for builders, for people who want to create the next thing.

Want to hear more?

Contact us and let’s figure out together if we can find a common path. Tell us about yourself and your background in your own words.

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).