--- title: 'Python Developer at Trackmind' canonical: 'https://feeny.ai/job/python-developer-trackmind-hyderabad-ms3zw7yb7ber' type: 'job' last_seen: '2026-09-21' --- # Python Developer at Trackmind - **Company:** Trackmind - **Location:** Hyderabad, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-16 - **Last confirmed live:** 2026-09-21 - **Apply:** https://jobs.lever.co/trackmind/91ef7ab8-1fe2-41a5-b766-057fb63c54aa ## Job description We are looking for an experienced Python Developer with 5–6 years of hands-on development experience and exposure to AI/ML technologies. The ideal candidate should have experience working in an enterprise environment and a good understanding of application security, integrations, and operational requirements. Key Responsibilities: - Design, develop, test, and maintain scalable applications using Python. - Develop and integrate AI/ML-based solutions into enterprise applications. - Build and consume REST APIs and work with enterprise system integrations. - Write clean, reusable, maintainable, and secure Python code. - Work with databases and develop efficient data-processing solutions. - Collaborate with business, development, QA, and infrastructure teams. - Troubleshoot technical issues and participate in root-cause analysis. - Follow enterprise-level security, coding, deployment, and operational standards. - Support application monitoring, performance improvement, and production issues. - Participate in code reviews and ensure development best practices are followed. Required Skills - 5+ years of strong hands-on experience in Python development. - Strong knowledge of Python programming, OOP, and data structures. - Experience with frameworks such as Django, Flask, or FastAPI. - Strong understanding of REST APIs and web services. - Experience with SQL and relational databases. - Exposure to AI/ML, Generative AI, LLMs, or related technologies. - Experience working in an enterprise application environment. - Understanding of application security and secure coding practices. - Knowledge of authentication and authorization concepts such as OAuth, JWT, SSO, or IAM is an advantage. - Exposure to cloud platforms such as AWS, Azure, or GCP is preferred. - Experience with Git and CI/CD is an advantage. Enterprise & Security Expectations - Understanding of enterprise security and compliance requirements. - Ability to develop applications following secure coding standards. - Awareness of authentication, authorization, data protection, and API security. - Experience working with enterprise development, deployment, and support processes. - Understanding of production support and operational requirements. ## Preferred Candidate Profile - Strong problem-solving and analytical skills. - Good understanding of enterprise application development. - Ability to work independently as well as collaborate with cross-functional teams. - Good communication skills. - Willingness to learn and work with emerging AI technologies. ## About Trackmind ## Company Overview - **One-liner**: Trackmind is a technology services firm that builds data infrastructure, AI systems, custom software, and enterprise integrations for companies operating at scale. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: HITEC City, Hyderabad, Telangana, India (with offices in the United States and London, England) - **Founded**: 2013 (with roots in operations since 2012) - **Founders**: Not publicly available ## Core Business - Primary industry/industries: Data Engineering, AI/ML, Enterprise Architecture, Analytics, Managed Operations, and Executive AI Education - Target customers: B2B, serving both startups and global enterprises (S&P Global, Archer-Daniels-Midland, Kenvue, Georgia Pacific, Givaudan, and Ginkgo Bioworks) - Mission or purpose statement: "We build systems that scale." — The company focuses on taking AI from strategy to production by solving the hardest part: the data infrastructure beneath the models. ## Products & Services - **[Data Engineering]**: Building infrastructure that holds up at production scale, with pipelines that are invisible when working. - **[AI & ML]**: Engineering for post-prototype production — MLOps, monitoring, retraining pipelines, and reliable AI infrastructure. - **[Enterprise Architecture]**: Designing architectures that make legacy ERP systems (e.g., 20-year-old systems) work seamlessly with modern AI platforms — no rip and replace. - **[Analytics]**: Building analytics that put the right insight in front of the right person at the moment it matters, not just dashboards. - **[Managed Ops]**: 24/7 monitoring and operations for data infrastructure, models, and pipelines. - **[Executive AI Education]**: Working with senior executives and leadership teams to build fluency in AI adoption — no slides, no jargon. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private, bootstrapped company) - **Key Metric**: 70 total employees (as of latest data) - **Notable Investors/Partners**: Bootstrapped — no external investors listed. Key clients include S&P Global, Archer-Daniels-Midland, Kenvue, Georgia Pacific, Givaudan, and Ginkgo Bioworks. - **Growth Signals**: The company has been operating since 2012/2013, has expanded to three offices (Hyderabad, US, London), and serves a roster of Fortune-level clients. They are actively hiring across multiple roles (Senior Nutritionist, Senior Shopify Developer, Talent Acquisition Specialist, SAP Techno-Functional Pricing Architect, Solution Architect, Finance Data & Reporting Specialist, Systems Analyst), indicating growth. ## Competitive Advantages - **Bootstrapped independence**: No VC pressure — the company has grown organically since 2012, which suggests a focus on sustainable, client-driven growth. - **Production-first approach**: They emphasize building systems that work in production, not just prototypes — a key differentiator in the AI space where many solutions fail at scale. - **Deep enterprise expertise**: They handle legacy ERP integration (SAP) alongside modern AI, a rare combination that allows them to serve large, complex clients. - **Client roster**: Working with S&P Global, ADM, Kenvue, Georgia Pacific, Givaudan, and Ginkgo Bioworks signals trust from major enterprises. ## Strategic Focus - Current priorities: Taking AI from strategy to production, building reliable data infrastructure, and helping leadership teams adopt AI with confidence. - Direction for growth: Expanding their team (active hiring across multiple disciplines) and continuing to serve both startups and global enterprises with end-to-end data and AI solutions. ## Why Work Here - **Growth**: The company invests in workshops, training, and conferences — real opportunities to get better at what you do, on company time. - **Balance**: "We protect your time outside of work. Balance is built into how we operate. Good work comes from people who have space to think." - **Team**: They hire curious, collaborative people who are good at what they do — you'll work alongside a team that makes you better. - **Work style**: On-site with offices in Hyderabad (India), the United States, and London, England. Employees work from physical offices; typical time on-site is not specified but the company operates with an "OnSite Workspace" policy. - **Notable perks**: Competitive pay and benefits are a given. The company also uses AI tools to support parts of the hiring process (reviewing applications, analyzing resumes) but final decisions are made by humans. ## Sources 1. [trackmind.com/careers](https://www.trackmind.com/careers) 2. [trackmind.com](https://www.trackmind.com/) 3. [jobs.lever.co/trackmind](https://jobs.lever.co/trackmind/) 4. [builtin.com/company/trackmind](https://builtin.com/company/trackmind) 5. 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