Backend Engineer Api Jobs

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes. What You'll Do: Customer-facing: 80% working directly with customers. Coding & Integration: 70-80% hands-on technical implementation Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows. Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow. Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: We are looking for a Senior Software Engineer – Platform Operations based in Pune, India, who will play a key role in ensuring the reliability, performance, and operational excellence of DeepIntent's platform and data ecosystem. This role requires a strong engineering mindset with the ability to troubleshoot complex technical issues, understand distributed data architectures, and collaborate across Engineering, Product, Analytics, and Customer-facing teams to deliver timely and effective solutions. As part of the Operations organization, you will work closely with Engineering to support production systems, improve operational processes, and drive platform stability. The ideal candidate is a self-motivated problem solver who is passionate about learning new technologies, improving system reliability, and delivering exceptional customer outcomes through engineering excellence. Serve as the engineering interface between Customer-facing teams, Analytics, Product, and Engineering organizations. Partner with Platform Support, Client Success, and other customer-facing teams to investigate and resolve complex platform-related issues. Analyze application, API, and data pipeline issues to identify root causes and drive timely resolution. Develop and standardize operational tools, and interfaces to support analytical and operational use cases. Monitor data pipeline executions, investigate failures, and implement corrective and pre

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Staff Software Engineer on the Automation - Foundations team, you will lead the re-platforming of the data layer underneath Vanta’s entire compliance product. This is a migration that spans multiple teams, has to preserve every public API contract along the way, and cannot lose a single customer’s evidence while it happens. Foundations is Vanta’s data platform team. We ingest security and compliance data from across our customer’s environments, currently tens of thousands of resources per second, with single-customer bursts running into the millions. We store the data, catalog it, make it queryable, and turn it into evidence that has to survive a real SOC 2 or FedRAMP audit. We are in the middle of moving our platform from a Mongo-centric architecture to a schema-aware, Postgres-backed architecture, on a Kafka and S3 pipeline that decouples data fetching from processing. Both pipelines run in parallel today, the hard problems here are correctness under migration, eventual consistency, and multi-tenancy, in a domain where “mostly right” is not an acceptable failure mode. Visit our Vanta Engineering Blog to learn more about what our team is working on. What you'll do as a Staff Software Engineer at Vanta: Lead the migration of Vanta’s resource data model from a Mongo-centric solution to a schema-aware Postgres-backed solution and running both generations in parallel without breaking a customer integration. Drive solutions across teams that you do not own but are dependent on the platform built by your team. Design for correctness under eventual consistency with idempotent session handling, conditional writes that survive out

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Staff Software Engineer on the Automation - Foundations team, you will lead the re-platforming of the data layer underneath Vanta’s entire compliance product. This is a migration that spans multiple teams, has to preserve every public API contract along the way, and cannot lose a single customer’s evidence while it happens. Foundations is Vanta’s data platform team. We ingest security and compliance data from across our customer’s environments, currently tens of thousands of resources per second, with single-customer bursts running into the millions. We store the data, catalog it, make it queryable, and turn it into evidence that has to survive a real SOC 2 or FedRAMP audit. We are in the middle of moving our platform from a Mongo-centric architecture to a schema-aware, Postgres-backed architecture, on a Kafka and S3 pipeline that decouples data fetching from processing. Both pipelines run in parallel today, the hard problems here are correctness under migration, eventual consistency, and multi-tenancy, in a domain where “mostly right” is not an acceptable failure mode. Visit our Vanta Engineering Blog to learn more about what our team is working on. What you'll do as a Staff Software Engineer at Vanta: Lead the migration of Vanta’s resource data model from a Mongo-centric solution to a schema-aware Postgres-backed solution and running both generations in parallel without breaking a customer integration. Drive solutions across teams that you do not own but are dependent on the platform built by your team. Design for correctness under eventual consistency with idempotent session handling, conditional writes that survive out

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: Overview of the product so far Training docs overview Story of the Training product Research we've done EXAMPLE INITIATIVES Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enablin

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As a Corporate it engineer at WRITER, you'll be the backbone of our internal technology ecosystem. You'll design, build, and scale the systems that empower our rapidly growing team to do their best work. This isn't just about closing tickets; it's about architecting seamless, secure, and automated experiences across our entire SaaS and hardware landscape. You'll have the opportunity to shape how a leading AI company operates from the inside out, ensuring our infrastructure scales as fast as our ambitions. This role is hybrid and based out of our San Francisco or New York City office hubs. You will report to Staff IT lead 🦸🏻‍♀️ What you'll do Own the architecture and administration of our core enterprise SaaS platforms — including Google Workspace, Slack, and Okta Build robust automations and API integrations using Python and Terraform to eliminate manual IT processes and engineer zero-touch onboarding and offboarding for our global workforce Drive our identity and acc

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As a Corporate it engineer at WRITER, you'll be the backbone of our internal technology ecosystem. You'll design, build, and scale the systems that empower our rapidly growing team to do their best work. This isn't just about closing tickets; it's about architecting seamless, secure, and automated experiences across our entire SaaS and hardware landscape. You'll have the opportunity to shape how a leading AI company operates from the inside out, ensuring our infrastructure scales as fast as our ambitions. This role is hybrid and based out of our London office hub. You will report to Staff IT lead 🦸🏻‍♀️ What you'll do Own the architecture and administration of our core enterprise SaaS platforms — including Google Workspace, Slack, and Okta Build robust automations and API integrations using Python and Terraform to eliminate manual IT processes and engineer zero-touch onboarding and offboarding for our global workforce Drive our identity and access management strategy b

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Engineer, the selected candidate will build and ship AI-powered tools alongside a small, technically focused team. This is a hands-on engineering role: the candidate will write Python, work with LLMs and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on. Guidance will

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About The Role Data governance is one of the most critical challenges for Mixpanel's enterprise customers, and the AI era turns it into a foundational problem. Analytics and agents are only as trustworthy as the data beneath them. Poor data quality compounds: incorrect analyses spread as it becomes easier for anyone — or any agent — to query data, and the problem multiplies as customers scale into projects with high-cardinality events and fast-growing user bases. A data foundation that stays clean, consistent, and trusted is what sets Mixpanel apart. As a Senior Software Engineer on the Data Foundation team, you'll work across the stack to build high-impact features with extreme customer focus. You'll partner closely with engineers across the company, and with Design, Product, and GTM, to solve one of the hardest problems in analytics: keeping data clean, consistent, and trustworthy at scale. Curious what this looks like in practice? Read why data governance matters for AI-powered analytics on our blog. What You'll Do Build customer-facing features on our web application (React SPA) Collaborate closely with engineers and cross-functional partners across Product, Design, GTM, and beyond Take full ownership of projects — from shaping and delivery through iteration We're Looking For Someone Who Has Full-stack experience, with deep expertise in at least one of: Web application backends (Python, Django) High-volume APIs Search indexing A track record of leading projects end to end, not just executing tickets Comfort moving across the stack Bonus Points For Experience with data ingestion (Go) A data-driv

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are looking for a Senior Full Stack Engineer to build and evolve our platform using .NET, React, and SQL Server-based systems. You will work across services, APIs, and front-end systems with a focus on scalability, reliability, and maintainability. You will operate within a globally distributed Agile team (Scrum and ShapeUp), where engineers own delivery, from design through deployment, while collaboratin

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are looking for a Senior Full Stack Engineer to build and evolve our platform using .NET, React, and SQL Server-based systems. You will work across services, APIs, and front-end systems with a focus on scalability, reliability, and maintainability. You will operate within a globally distributed Agile team (Scrum and ShapeUp), where engineers own delivery, from design through deployment, while collaboratin

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. The Team On the AI Backend team at Observe by Snowflake you'll be at the forefront of how AI is reshaping the way engineering teams operate; building the platform that powers intelligent, automated workflows across observability and beyond. Our team is small, and moves fast, with real ownership over hard problems that span agentic APIs, real-time pipelines, and AI quality. You'll work alongside talented engineers across ML, product, and

Python / Django Developer (Backend) K12 Techno Services • Bengaluru, Karnataka • via Cutshort ₹15L–₹20L a year Full–time Job description Designation: Python/Django Developer (Backend) Department: Software Engineering Team Location: Whitefield (Bangalore) Qualification: Any Computer (Graduate or Post Graduate) Experience: 3+ years of relevant experience in building functional and efficient server-side applications using Python/Django with 2+ years of relevant experience in working with RDBMS. Responsibilities: • Help design and implement functional requirements • Build efficient back-end features in Python • Integrate front-end components into applications • Manage testing and bug fixes • Prepare technical documentation • Collaborate with UX/UI designers to implement design into the code • Coach junior team members • Implement software enhancements and suggest improvements Skills Required: • Experience with Python frameworks (e.g. Django, Flask, FastAPI) • Familiarity with Amazon Web Services (AWS) cloud technologies • Excellent understanding of REST API Development and HTTP Methods • Understanding of databases and SQL • Good experience in working with RDBMS • Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance. • Knowledge of web stack - javascript, html, web frameworks like React.js is a plus • Good understanding of Good Troubleshooting experience and exposure • Ability to work with Jr engineers, mentor, guide and help them • Enjoys coding and problem solving • Good communication skills. Ability to express ideas clearly and concisely • Familiarity with code versioning tools (such as Git, SVN, and Mercurial) Salary: Upto 21LPA (Negotiable) IMMEDIATE JOINING PREFERRED!

Python / Django Developer (Backend) K12 Techno Services • Bengaluru, Karnataka • via Cutshort ₹15L–₹20L a year Full–time Job description Designation: Python/Django Developer (Backend) Department: Software Engineering Team Location: Whitefield (Bangalore) Qualification: Any Computer (Graduate or Post Graduate) Experience: 3+ years of relevant experience in building functional and efficient server-side applications using Python/Django with 2+ years of relevant experience in working with RDBMS. Responsibilities: • Help design and implement functional requirements • Build efficient back-end features in Python • Integrate front-end components into applications • Manage testing and bug fixes • Prepare technical documentation • Collaborate with UX/UI designers to implement design into the code • Coach junior team members • Implement software enhancements and suggest improvements Skills Required: • Experience with Python frameworks (e.g. Django, Flask, FastAPI) • Familiarity with Amazon Web Services (AWS) cloud technologies • Excellent understanding of REST API Development and HTTP Methods • Understanding of databases and SQL • Good experience in working with RDBMS • Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance. • Knowledge of web stack - javascript, html, web frameworks like React.js is a plus • Good understanding of Good Troubleshooting experience and exposure • Ability to work with Jr engineers, mentor, guide and help them • Enjoys coding and problem solving • Good communication skills. Ability to express ideas clearly and concisely • Familiarity with code versioning tools (such as Git, SVN, and Mercurial) Salary: Upto 21LPA (Negotiable) IMMEDIATE JOINING PREFERRED!