AI Software Engineer, Agent Harness Location: Bengaluru, Karnataka (or throughout India remote-friendly with travel) About EnCharge AI EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity We serve open-weight models and our own bespoke checkpoints on EnCharge hardware. The models change often, and the harness around them needs to keep up. You own this layer that runs agents against files, tools, documents with permissions, memory, unattended execution, and real outputs. It will be assembled from a combination of open-source and bespoke code. Key Responsibilities Own the harness architecture end to end — agent loop, safe execution, context management, knowledge base, memory, permissions, orchestration, outputs, interfaces, observability — one component per layer, with clear interfaces so layers can be swapped. Build the pieces with no open-source equivalent e.g. session semantics, enforced permissions, memory in a human-editable file, orchestrator, and outputs. Keep pace with the models: adapters, prompt formats, tool-call schemas, stop conditions, benchmarking and evaluation. Make tool use reliable across models of uneven tool-calling quality — validation, repair, retries, fallbacks. Develop agents, tools, and MCP servers for internal and customer use cases, and review them for security before they ship. Build the evaluation harness: task suites, regression runs on every model or harness change, cost and latency per task alongside quality. Define the interfaces:
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Remote It Systems Engineer in India
15 active opportunities · Updated September 2026
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SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Software Engineer - Systems Integration We are seeking a highly motivated Integration Engineer to design, develop, test, and maintain scalable integrations between critical enterprise systems like Oracle ERP, Salesforce, Snowflake, Agile PLM, etc. The ideal candidate will have 5+ years of hands-on experience with systems and data integration across a variety of platforms and protocols. Responsibilities: Design, implement, and maintain robust, scalable integration workflows between critical enterprise systems supporting Finance, Sales, Marketing, HR, Engineering, IT, etc Partner with Business and IT stakeholders to implement integration capabilities, data transformations and enrichment, error handling, re-startability, and system monitoring Monitor integration jobs for performance and errors; perform troubleshooting and issue resolution Continuously monitor and address optimization opportunities toward simplification and efficacy Assist with security and compliance requirements related to data handling, including secure file transfers and encryption practices Implement and support
About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructur
Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team The Network Security team is responsible for securing GoDaddy's global hybrid infrastructure across data centres, cloud, edge, and remote-access environments. We partner across Security, Infrastructure, Cloud, and Engineering teams to build scalable, resilient, and secure solutions that support the business. As a Principal Network Security Engineer, you'll act as a senior technical leader, helping define network security strategy, influence architecture across teams, and drive security outcomes at enterprise scale through technical expertise, systems thinking, and cross-functional leadership. What you'll get to do... Define and drive network security architecture across hybrid environments, including data centres, cloud, edge, and remote-access technologies Design trust boundaries, segmentation strategies, secure connectivity patterns, and network controls that reduce risk and improve security posture Lead complex technical initiatives, migrations, and architectural decisions while balancing security, reliability, performance, and operational requirements Establish scalable approaches for policy governance, automation, monitoring, telemetry, and security control validation Partner across engineering organizations to drive large-scale initiatives, mentor engineers, and influence technical direction through architecture reviews and technical leadership Your experience should include... 10+ years of experience in Network Security Engineering, Network Architecture, or Security Engineering, including ownership of enterprise-scale secu
Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings Join Our Team... GoDaddy’s Product Security team is looking for a Security Engineer who is passionate about helping build secure products and services used by millions of customers worldwide. In this role, you will work closely with engineering and platform teams to identify security risks, improve security practices, and help embed security throughout the software development lifecycle. You will have the opportunity to learn from experienced security professionals while contributing to initiatives that improve the security and resilience of our products, platforms, and cloud environments. The ideal candidate is curious, hands-on, eager to learn, takes ownership of their work, and excited to solve security challenges at scale! What you'll get to do... Identify, assess, and help remediate security risks across applications, infrastructure, cloud environments, and AI-enabled services Partner with engineering and platform teams to design, implement, and improve security controls throughout the software development lifecycle Conduct security reviews, threat modelling, and risk assessments to help build secure, resilient, and scalable systems Develop and enhance automation, tooling, and processes that strengthen security coverage, improve detection and response capabilities, and increase operational efficiency Investigate security findings, stay informed on emerging threats and technologies, and contribute to a culture of security awareness and continuous learning Your experience should include... 2+ yea
Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... GEDE (Global Edge and Domains Engineering) keeps GoDaddy's domains, edge, and aftermarket platforms running for millions of customers. Within GEDE, the Reliability Engineering team (Domains Production Engineering) is the group that gets the call when something breaks — and, more importantly, builds the systems that mean it breaks less often. We own the monitoring, compliance, and patching toolchain for the whole Domains infrastructure footprint, provide advanced incident support, and are actively modernizing how the org detects, diagnoses, and even auto-remediates issues with AI-assisted tooling! What you'll get to do... Build and evolve observability using Prometheus/Mimir, the Grafana LGTM stack, Elastic/OTEL, and Site24x7 — closing gaps across the org. Steer our cloud migration journey and bolster our efforts to keep the services reliable and performant. Own patching compliance and vulnerability remediation at scale across a mixed on-prem + AWS fleet, hitting hard SLA targets. Operate and extend our multi-tenant Kubernetes/ArgoCD platform, including the migration of core services. Contribute to our AI/automation initiatives: auto-generating runbooks from Prometheus alerts, ServiceNow change-risk scoring, and other tooling that reduces toil for the whole team Consult with partner dev teams on metrics, alert thresholds, and monitoring standards — this is a platform-enablement role, not just a ticket queue. Mentor other engineers on the team and help mature our operational practices. Your experience should include
SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Position Summary The Senior Software Engineer will manage, support, and customize SonicWall's Oracle Agile PLM platform and support its modernization toward Oracle Fusion Cloud PLM. Beyond core PLM, this role owns EDI and system-to-system integrations between Oracle and other enterprise systems — ERP, CRM, the data platform, and external/partner systems — and contributes to SonicWall's agentic AI initiatives by building AI-assisted automations within the PLM and integration landscape. This is a hands-on, full-stack engineering role with a high degree of autonomy, operating within our established delivery, change, and security processes. The ideal candidate can operate and extend the PLM platform, deliver robust Oracle-to-external integrations, and apply modern AI tooling to reduce manual effort and accelerate product and transactional data flows across the enterprise. Key Responsibilities PLM platform: Manage, support, and customize Oracle Agile PLM (Product Collaboration, PQM, PG&C), and support the roadmap toward Oracle Fusion Cloud PLM. Deliver product changes: Interface with users to de
SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Position Summary We are hiring a Software Dev Engineer to design, build, test, and deploy AI-powered applications. You will work across the full application lifecycle — from architecture and implementation through automated testing, CI/CD deployment, and production monitoring — building features that put large language models and agentic tooling to work inside SonicWall's internal systems. This is a hands-on engineering role for someone with 6–8 years of professional software development experience who is comfortable owning services end to end: writing production-quality code, integrating LLM and agentic APIs, standing up reliable data and retrieval pipelines, and shipping through a disciplined test-and-release process. You will collaborate closely with senior engineers, product stakeholders, and platform teams to turn requirements into dependable, well-tested applications. Key Responsibilities Develop AI applications: Design and build features and services that use LLM and agentic capabilities — prompting, tool/function calling, retrieval-augmented generation (RAG
From ₹94.2L/yr
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase stores a large amount of digital currency making us a top tier target on the internet. Security is core to our mission and has been a key competitive differentiator for us as we scale. Security Platform Engineering ( SPE ) team is building platform capabilities for a variety of security use cases critical for security, compliance and privacy at Coinbase. Some of the key functional areas we are developing capabilities for are secrets and key management, identity access and management, onchain security, policy and risk management, vulnerabilities management enabling our product, compliance, security and services teams to protect Coinbase and our customers. What you’ll do: Architect and develop platform for security platform engineering org Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps Build new services to meet critical product and business needs using Golang / Java Design scalable systems to solve novel problems with modern cloud technology and industry best practices. Manage individual projects priorities, deadlines and deliverables with your technical expertise Mentor and train other team members on design techniques and coding standards Articulate a long term vision for maintaining and scaling our backend systems and the teams running them. Work with engineers, designers, product m
From ₹44.1L/yr
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Coinbase stores a large amount of digital currency making us a top tier target on the internet. Security is core to our mission and has been a key competitive differentiator for us as we scale. Security Platform Engineering ( SPE ) team is building platform capabilities for a variety of security use cases critical for security, compliance and privacy at Coinbase. Some of the key functional areas we are developing capabilities for are secrets and key management, identity access and management, onchain security, policy and risk management, vulnerabilities management enabling our product, compliance, security and services teams to protect Coinbase and our customers. What you’ll do: Architect and develop platform for security platform engineering org Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps Build new services to meet critical product and business needs using Golang / Java Design scalable systems to solve novel problems with modern cloud technology and industry best practices. Manage individual projects priorities, deadlines and deliverables with your technical expertise Mentor and train other team members on design techniques and coding standards Articulate a long term vision for maintaining and scaling our backend systems and the teams running them. Work with engineers, designers, product m
Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... This position is for a Staff Software Engineer within GoDaddy’s engineering organization, concentrating on developing scalable, fault-tolerant systems and promoting technical excellence across various teams and projects. As a Staff Software Engineer, you will serve as a technical leader at the division level. You will impact system design and architecture, as well as how engineering is carried out across teams. This position suits engineers who excel in uncertain environments, like tackling difficult technical problems, and can provide clarity, structure, and delivery for large projects. Our teams focus on greenfield and open-ended projects that require firm technical ownership, architectural vision, and collaboration across functions. You will assist in establishing engineering standards, support teams through mentoring, and create systems that boost reliability, scalability, and developer efficiency organization-wide. This role is important for encouraging innovation throughout the engineering organization. It includes promoting AI-assisted development workflows, modern cloud-native methods, and reusable platform features that speed up development across teams. What you'll get to do... Technical Execution & Delivery Lead delivery of complex engineering initiatives while driving predictable execution and long-term technical quality Architect and implement highly available, fault-tolerant distributed systems using AWS, PostgreSQL/Aurora, and MongoDB Architect and lead greenfield projects from concept to production, bringin
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . Recruiter: Aishwarya Gopalakrishna Hiring Manager: Vivek Kumar Tiwari Level: P3 See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer (P3) About the job This position is needed to build new features and capabilities in the Twilio Segment team. As a Senior Software Engineer on this team, you’ll build and scale systems that process several hundred thousands of data points per second. Helping our customers unlock value of their data from external systems and activate it to various destinations via Segment capabilities. You will work on high-scale ingestion and data processing systems. We iterate quickly on these products and features and learn new things daily — all while writing quality code. We work closely with product and design and solve some of the toughest engineering problems to unlock new possibilities for our customers. If you get excited by building products with high customer impact — this is the place for you. Responsibilities In thi
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
Job Description: Data & Analytics Engineer (3-4 Years Experience) : 100% Remote Job Title: Data & Analytics Engineer Experience: 3-4 years Location: Remote Employment Type: Full-time Team: Data Engineering & Analytics About the Role Eltropy is a digital conversations platform for credit unions and community financial institutions in the US. The Data Engineering & Analytics team builds the AWS data pipelines and customer-facing dashboards that power analytics across the platform. We are looking for a Data & Analytics Engineer with 3-4 years of experience who can own dashboard delivery end to end along with the pipelines behind it. The ideal candidate learns fast, builds product context quickly, listens well, and collaborates effectively across product, engineering, DevOps, and customer-facing teams. Key Responsibilities Own dashboard changes end to end in QuickSight and ThoughtSpot - new metrics and filters, SPICE refresh management, internal-to-production promotion, and post-release validation. Build and maintain batch and streaming ETL pipelines on AWS using Glue (PySpark), S3, Redshift, and Airflow (MWAA) DAGs. Write and optimize Redshift SQL; debug query performance, connection contention, and data mismatches across sources. Support near-real-time ingestion (Kafka/MSK CDC → Glue Streaming → S3 → Redshift). Investigate customer-reported analytics discrepancies (Jira/support tickets), root-cause them in the data, and communicate findings clearly to support, product, and engineering. Set up and respond to pipeline monitoring - CloudWatch metrics and alarms, monitoring DAGs, refresh health - and participate in incident triage and RCA. Develop deep product knowledge: understand what each metric means to our credit union customers and translate product changes into data model and dashboard updates. Ensure data quality, validation, and consistency across systems. Required Skills & Qualifications 3-4 years of experience in data engineering and/or
From ₹8.2L/yr
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Payments Risk Analyst II As a Payments Risk Analyst II on the Risk & Fraud team within the Consumer & Business group, you'll own the identification and mitigation of payments fraud across Coinbase's fiat payment rails, including ACH, wire, and card transactions. This team protects millions of customers and billions in transaction volume from chargebacks, unauthorized deposits, and account takeover schemes. You'll investigate escalated fraud cases, analyze risk patterns across multiple channels, and partner cross-functionally to strengthen detection systems across one of crypto's highest-volume retail platforms. What you'll do: Own end-to-end investigation and resolution of escalated payments fraud cases, including chargebacks, ACH returns, wire disputes, and account takeovers, across phone, messaging, and email channels. Analyze fraud trends and patterns across payment activities, synthesizing data into actionable recommendations that improve detection logic and reduce loss exposure. Handle premium and high-complexity customer cases, including CB1, HNWI, and executive escalations, using judgment to make risk decisions and coordinating with stakeholders to resolve issues. Partner cross-functionally with Product, Data Science, Risk ML, and Engineering to develop and iterate on risk management strategies, rule logic, and fraud prevention processes. Identify work
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