Production Automation Developer Jobs

The Infrastructure Engineering team is responsible for building and maintaining a self-service internal development platform that enables MongoDB engineering teams to reliably deploy and operate their own production services and products. We work with numerous engineering teams across the company to understand their infrastructure requirements and development workflows, develop broadly applicable self-service platform services and tooling, continuously monitor how platform services are being utilized, and look for ways to improve developer productivity through automation and education. We are big open source enthusiasts and use a number of open source tools in our stack (contributing upstream whenever possible). Some of the tools we use regularly include Go, AWS, Kubernetes, Crossplane, Terraform, Helm, Drone, Prometheus, and Grafana. However, technology is nothing without a stellar team of engineers that are focused on doing high quality work and working as a team to solve complex distributed computing and platform engineering problems. This is where you come in! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate Has built and operated large-scale distributed systems in cloud providers (AWS strongly preferred) Has a strong backend programming background. Fluency in Go is strongly preferred; deep experience with another compiled or strongly-typed backend language is acceptable Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs Has experience designing and implementing medium-to-large software projects, including driving design reviews and mentoring less-senior engineers Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration Strong experience operating production Kubernetes clusters, not just deployed to it Has practical experience defining and operating against SLI/SLOs for services they owned Str

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a Product Reliability Engineer (AQA) - UniFi Fabric Platform to evolve QA beyond traditional Dev support into customer-driven product reliability ownership. This role focuses on scalable validation systems and production-like, real-world customer workflow coverage for UniFi Fabric across Identity (Admins and Users), MSP, Zero Trust, provisioning, orchestration, cloud services, client workflows, and application backends. You will work closely with Support, Product, Engineering, Cloud, Identity, client, and application backend teams to translate real customer pain points into repeatable validation coverage and release confidence. The ideal candidate is a strong SDET / AQA who can build reliable automation systems, debug complex product behavior across frontend, backend, cloud, and client surfaces, and reduce customer risk before issues reach production. What You’ll Do Build and maintain scalable automated validation systems for UniFi Fabric workflows across client, cloud backend, and application backend surfaces. Translate Support cases, customer feedback, field issues, and regression patterns into repeatable test scenarios. Maintain production-like and real-world workflow environments that reflect customer deployments, data, permissions, upgrades, provisioning, and failure recovery paths. Validate d

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We're looking for an engineer to own the deployment and operational infrastructure of Multigres, our distributed Postgres platform. You'll be responsible for building and maintaining the Multigres Operator, ensuring reliable cloud deployments, and creating the tooling that powers our Kubernetes-based infrastructure. What You’ll Be Responsible for: Build and maintain the Multigres Operator - Maintain our Go-based Kubernetes operator that orchestrates distributed Postgres deployments Architect cloud deployment infrastructure - Design and implement robust deployment patterns for EKS and other Kubernetes platforms Manage storage and networking layers - Work with CSI drivers, persistent volumes, and cross-cloud networking to ensure data reliability and connectivity Develop deployment tooling - Create internal tools and automation for provisioning, scaling, and managing Multigres clusters Ensure operational excellence - Build monitoring, alerting, and diagnostic capabilities into the deployment layer Collaborate across teams - Work with database engineers, SRE, and product teams to deliver seamless deployment experiences You Might Be a Good Fit If You have: Strong systems programming skills - Proficiency in Go and experience building production-grade operators or controllers Deep Kubernetes expertise - Hands-on experience with Kubernetes internals, custom resources, and cloud-managed Kubernetes services (EKS, GKE, AKS) Database operations knowledge - Understanding of database deployment patterns, backup/restore, replication, and high availability Distributed systems experience - Familiarity with consensus protocols, failure scenarios, and designing for resilience Cloud infrastructure background - Experience with cl

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. This role is based in Toronto, with three days per week in the office to work closely with engineering teams. In this role you will Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). Build scalable automation and control plane for Kafka fleet management and improve efficiency. Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. Improve observability, monitoring, and failover for mission-critical real-time systems

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. This role is based in San Francisco, with three days per week in the office to work closely with engineering teams. In this role you will Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). Build scalable automation and control plane for Kafka fleet management and improve efficiency. Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. Improve observability, monitoring, and failover for mission-critical real-time s

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The GTM Technology team sits within GTM Operations and owns the systems, architecture, and automation that power Plaid's go-to-market motion — Salesforce administration and platform architecture, quote-to-cash, lead-to-cash data integrity, and the evaluation and rollout of new GTM tooling, including AI and agentic tooling. We partner closely with Sales, Finance, and Engineering to make sure the systems behind revenue are accurate, scalable, and increasingly automated. We're hiring a GTM Technology Engineer to help build and maintain the technical backbone of our GTM systems. This is a hands-on engineering role for someone who can write production-quality Salesforce code (Apex, LWC, SOQL/SOSL), design clean integrations across our GTM stack (Salesforce, CPQ, contract lifecycle management, sales engagement, data warehouse, and more), and bring an AI-forward, builder mentality to how we automate and scale GTM Operations workflows. You'll work on everything from diagnosing and fixing Apex logic that drives revenue-critical fields, to building integrations that connect Salesforce with adjacent platforms, to designing and deploying AI-powered agents and automations (using LLM APIs, MCP

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets . We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes. Responsibilities: Monitor live trading systems, strategies, orders, positions, P&L, and risk. Act as the first line of support for trading, execution, exchange connectivity, and production issues. Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions. Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues. Support strategy deployments, system releases, testing, and production changes. Monitor exchange and market events, outages, connectivity issues, and other operational risks. Analyze trading and operational metrics to identify issues and improve processes. Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations. Maintain operational procedures and controls for production trading. Participate in local trading coverage and rotating weekend coverage. Requirements: 3+ years of experience in electronic trading, trade support, trading operations, production support, or a related role. Strong understanding of electronic trading, order lifecycle, positions, P&L, and risk. Ability to troubleshoot issues calmly and effectively in a fast-moving production environment. Strong Python or scripting skills; SQL experience is preferred. Experience working with large trading or market datasets. Strong analytical, communication,

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets . We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes. Responsibilities: Monitor live trading systems, strategies, orders, positions, P&L, and risk. Act as the first line of support for trading, execution, exchange connectivity, and production issues. Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions. Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues. Support strategy deployments, system releases, testing, and production changes. Monitor exchange and market events, outages, connectivity issues, and other operational risks. Analyze trading and operational metrics to identify issues and improve processes. Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations. Maintain operational procedures and controls for production trading. Participate in local trading coverage and rotating weekend coverage. Requirements: 3+ years of experience in electronic trading, trade support, trading operations, production support, or a related role. Strong understanding of electronic trading, order lifecycle, positions, P&L, and risk. Ability to troubleshoot issues calmly and effectively in a fast-moving production environment. Strong Python or scripting skills; SQL experience is preferred. Experience working with large trading or market datasets. Strong analytical, communication,

The Trading team develops and operates quantitative trading strategies across prediction markets, equity markets, and crypto markets . We are looking for a Trading Operations & Support Analyst to support live systematic trading, ensure smooth day-to-day operations, and help improve the reliability and efficiency of our trading systems and processes. Responsibilities: Monitor live trading systems, strategies, orders, positions, P&L, and risk. Act as the first line of support for trading, execution, exchange connectivity, and production issues. Investigate and resolve order, position, P&L, reconciliation, and trading-system exceptions. Coordinate with traders, quantitative developers, exchanges, brokers, and other counterparties to resolve live trading issues. Support strategy deployments, system releases, testing, and production changes. Monitor exchange and market events, outages, connectivity issues, and other operational risks. Analyze trading and operational metrics to identify issues and improve processes. Develop tools and automation to improve monitoring, reconciliation, reporting, and trading operations. Maintain operational procedures and controls for production trading. Participate in local trading coverage and rotating weekend coverage. Requirements: 3+ years of experience in electronic trading, trade support, trading operations, production support, or a related role. Strong understanding of electronic trading, order lifecycle, positions, P&L, and risk. Ability to troubleshoot issues calmly and effectively in a fast-moving production environment. Strong Python or scripting skills; SQL experience is preferred. Experience working with large trading or market datasets. Strong analytical, communication,

The QA Analyst will be responsible for testing and verifying software products and applications to ensure that they meet the company's quality standards. The successful candidate will work closely with developers, project managers, and other stakeholders to identify defects and ensure that they are fixed in a timely manner. Job Responsibilities Analyze the design of features and improvements to identify edge cases and balance issues (20%) Write comprehensive test plans derived from specs, emails, and conversations (20%) Execute manual tests on multiple projects simultaneously (20%) Log, track, and assign bugs in a bug database, and follow up to ensure that issues are reviewed and addressed in a timely manner (20%) Guide projects to completion, from the Development environment to Production (5%) Interface with management and the development teams (5%) Support Customer Service to help resolve field issues and maintain live products (5%) Support Operations to help resolve all stop-ship issues immediately (5%) Critical Skills & Experience Requirements Bachelor’s Degree in Computer Science or related field (Req) 3&#43; Years of experience in software quality assurance (Pref) 2&#43; Years of experience testing large-scale, consumer-facing web products (Pref) 1&#43; Year of experience with Agile development methodologies (Pref) Strong analytical and problem-solving skills Excellent communication and collaboration skills Knowledge of software development lifecycle and software testing methodologies Experience with test automation tools and frameworks is a plus Knowledge of bug tracking software, such as Jira Experience writing and executing test plans using software such as TestRail or Zephyr BENEFITS <

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across our Infrastructure Platforms department. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. In this role you will Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). Build scalable automation and control plane for Kafka fleet management and improve efficiency. Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. Improve observability, monitoring, and failover for mission-critical real-time systems. You’ll love this job if you You enjoy working on distributed systems at scale and care about reliability and

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role The Integration Engineer for RPA UiPath will be responsible for designing, developing, and implementing enterprise-level RPA solutions using UiPath to automate manual and repetitive processes. They will collaborate with business stakeholders to gather requirements, analyze processes, and propose automation solutions that align with the company's goals and objectives. The successful candidate will ensure timely delivery and quality of RPA automations, provide production support, and continuously improve and optimize existing solutions to maintain efficiency and reliability. What You’ll Do Desi