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

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

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.

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.

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

About the role

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

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

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

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

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

A day in the life of an AI Systems Engineer 

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

What are we looking for:

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

Why join us?

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

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

Core Responsibilities

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

Skills and Experience

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

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

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

Your Core Responsibilities: 

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

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

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

Your Skills and Experience: 

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

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

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

• Excellent written and verbal communication skills; fluency in English

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

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

Your Core Responsibilities: 

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

Your Skills and Experience: 

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

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

Your Core Responsibilities:

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

Your Skills and Experience:

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

Junior Software Developer 

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

About Decisions 

Decisions is a fast-growing, private-equity-backed technology company revolutionizing business process automation (BPA). Our no-code platform integrates AI tools, rules engines, and workflow management to help Fortune 500 firms and SMBs modernize legacy systems, transform customer experiences, and achieve automation goals—three times faster than traditional development. 

We’re expanding our Mumbai team and looking for passionate junior developers ready to launch their careers in .NET and C#. If you’re eager to learn, build real-world applications, and grow in a collaborative environment, we want to hear from you. 

What You’ll Do 

• Collaborate with product managers, designers, and senior developers to build and support software applications 

• Analyze requirements and design software using OOP principles and modern programming logic 

• Develop and maintain our business automation platform 

• Participate in performance testing, debugging, and continuous improvement 

 What You’ll Learn 

• Hands-on experience with ASP.NET MVC, C#, .NET, Docker, React, and HTML5 

• Exposure to real-world SDLC practices and agile methodologies 

• Structured onboarding and mentorship from senior engineers 

• Weekly learning sessions and access to internal knowledge base 

• Opportunities to contribute to production code within your first quarter 

What We’re Looking For 

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or Math 

• Completion of formal or informal training in C# or React, such as bootcamps, online courses, or academic modules 

• Hands-on experience building software projects—even if they were for educational purposes, personal learning, or portfolio development 

• Strong grasp of object-oriented programming (OOP) concepts 

• Familiarity with at least two of the following: C#, .NET, ASP.NET MVC, JavaScript, React, HTML5, CSS 

• Analytical mindset and problem-solving skills 

• Clear communication and a collaborative spirit 

• Eagerness to learn new technologies and take initiative 

• Ability to meet deadlines and manage priorities effectively 

What You’ll Get 

• Competitive starting salary 

• Health insurance and paid time off 

• Monthly feedback check-ins and quarterly growth reviews 

• A supportive team that invests in your development 

 Fresh Graduate Friendly 

This role is ideal for recent graduates or developers with up to 1 year of experience. If you’re looking for your first break in software development and want to grow in a modern .NET environment, apply now. 

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).