Technical Services Engineer Infrastructure Weekend Jobs

*Max notice period - 30 Days Technical Skills: Customize and extend Oracle Fusion modules. Experience on development of SaaS extensions using Oracle Visual Builder Cloud Service (VBCS) or Application Composer, Process Cloud Service (PCS) Knowledge on Oracle Financial Modules AP, GL- Familiar with tables, API's and interfaces. Should have expertise in Oracle Fusion Cloud tools such as FBDI, ADFdi, Application Security, Workflows, BPM Workflows, Page Customizations & Extensions, FSR, BI Publisher, OTBI, Alerts etc. Understanding of REST services Understanding on Oracle Cloud Infrastructure, Architecture and Network Topology Understand how to integrate multiple systems with Oracle Fusion using various integration patterns and technologies and OIC Basic skills in Shell scripting Additional knowledge on APEX. Expertise in SQL, PLSQL, Oracle Reports, WEBADI, Oracle Workflow, XML Publisher, and Oracle Application Framework. Expertise in Oracle Forms would be an added advantage Expertise in Github, CICD, Automation Testing would be an added advantage Good debugging skills using above mentioned technical tools. Should have experience in development/support/implementation of CEMLIs. Functional Skills Should have understanding of high-level functionalities of following modules General Ledger Payables Assets Expenses Procurement Soft Skills Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience. Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.

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 Sentry helps developers identify and resolve issues in their applications. Behind our products is a complex foundation of distributed systems, cloud infrastructure, and services that must perform reliably at scale. Our Platform and Infrastructure Engineering teams build and operate the systems that power Sentry. From cloud infrastructure, distributed storage, and real-time event processing to service reliability, scalability, and developer productivity, these teams provide the technical foundation that enables our products and engineering organization to grow. We're looking for Staff Software Engineers to tackle some of Sentry's most challenging infrastructure and distributed systems problems. Depending on your experience and interests, you might work on scaling our real-time event processing systems, improving the reliability and efficiency of our cloud infrastructure, or designing and building foundational services that support our products. In this role, you'll have the autonomy to identify important technical problems, lead solutions from design through production, and influence engineering decisions beyond your immediate team. We're looking for engineers who enjoy solving difficult problems, remain hands-on with the systems they build, and take pride in delivering meaningful technical impact. In This Role, You Will Design, build, and operate reliable, scalable distributed systems that support Sentry's products and engineering teams. Own technically complex projects from identifying problems and defining solutions through implementation, deployment, and production operations. Solve challenging engineering

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Security Engineer – Akamai & Edge Security Services designs, implements, administers, and optimizes security controls that protect enterprise web applications, APIs, and internet-facing services. This role provides senior technical expertise in Web Application Firewall (WAF), bot protection, DDoS mitigation, API security, DNS security, certificate management, and related edge security technologies. The position partners with application, cloud, infrastructure, network, and security teams to strengthen the enterprise digital perimeter, respond to security threats, troubleshoot complex issues, and continuously improve security controls and operational processes. The role participates in a rotating on-call schedule, approximately one week every six weeks, with occasional after-hours support for critical incidents and emergency changes. Key Responsibilities: Security Engineering & Administration Administer and optimize Akamai security tec

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’s Developer Infrastructure group builds the systems every Coinbase engineer relies on to write, validate, ship, and run code. We own the path from commit to production, including CI and build infrastructure, deployment platforms, and test systems that give engineers fast, trustworthy feedback. We’re hiring Senior Software Engineers across several teams in the group, and you’ll be matched to the team that best fits your strengths and interests. Wherever you land, you’ll build and operate foundational platform services used across Coinbase engineering, where improvements in build speed, deploy safety, and test reliability scale across thousands of engineers. This is high-leverage systems work with a high bar for reliability and security. What you’ll do Design, build, and operate core developer infrastructure services across CI, build systems, deployment orchestration, and test infrastructure. Improve key engineering productivity metrics, including build and CI time, deploy speed and safety, and test feedback quality. Own services end to end, including architecture, observability, SLOs, and on-call operations. Partner with engineering teams across Coinbase to understand pain points and turn them into platform improvements. Lead technical design for cross-cutting projects and drive them through production. Mentor engineers and help shape the technical direction

About the Team We’re hiring Software Engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Reliability Engineering, Observability, Developer Productivity or Cloud Infrastructure. About the Role All teams are deeply collaborative, work on mission-critical services, and are responsible for building distributed, scalable infrastructure to bring OpenAI’s technology to the world through products like ChatGPT and the OpenAI API. You’ll work closely with stakeholders to understand infrastructure, data and compute needs, setting the technical strategy that supports cutting-edge research and product development. This is a critical role for someone who is passionate about solving complex engineering problems at scale, ensuring their performance, scalability and reliability Team Focus Areas Distributed Systems: Owning and building important, highly scalable, available, performant, and reliable distributed systems (and their building blocks) to power the entire stack at OpenAI Systems Engineering: Work across layers of the stack—debugging system bottlenecks, evolving core infrastructure, and solving novel problems in performance and scalability. Reliability Engineering: Build scalable, fault-tolerant systems and lead efforts around service health, incident response, and resilience. Observability: Design and maintain observability tooling (metrics, logs, tracing) to give teams visibility into production systems at scale. Developer Productivity: Create tools, environments, and workflows that help engineers ship high-quality software faster and more safely. Cloud Infrastructure: Own the cloud-native infrastructure (compute, networking, storage) that underpins all services and research workloads. Databases: Building high performance, distributed database systems that power all of OpenAI's product stack. In this

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's Developer Infrastructure - Test team exists for one reason: every Coinbase engineer should get fast, reliable test signals so the company can test and ship faster. As AI accelerates the pace of code generation, test infrastructure is becoming a critical path for how quickly Coinbase delivers value to customers. As a Staff Software Engineer on the Platform team, you'll set the technical direction for how Coinbase tests and ships software, owning the systems that turn testing into a speed advantage instead of a bottleneck. What you'll do: Define and own the technical strategy for test infrastructure across Coinbase engineering, with feedback speed as a core design constraint. Build and operate core test infrastructure services, including test orchestration, smart test selection, sharding, flaky-test detection, and test result analysis. Drive measurable improvements in test feedback speed and signal reliability so engineers can ship with confidence and without reruns. Own systems end to end, including architecture, observability, SLOs, and on-call operations. Partner with engineering teams across Coinbase to identify bottlenecks and turn them into platform improvements. Mentor engineers, raise technical standards, and shape how the organization approaches test infrastructure. Required Skills and Experience: 10+ years building and operating production so

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Service Infrastructure team is responsible for empowering teams to build highly reliable and performant services, backing our payment systems, fraud detection, and a multitude of other products. As an infrastructure team, you will build and expand the service frameworks to make complex systems easy to use, resilient, and scalable. We build powerful interfaces for engineers that depend on these systems—deployment, load balancers, web framework, databases, Kafka, and Kubernetes—while keeping them highly available and performant. We're looking for engineering leaders who drive the technical vision of Stripe's service infrastructure platform for thousands of engineers to use and build on top of, and thrive in a highly autonomous environment with many moving pieces. What you’ll do You will join as a Technical Lead for one of the most impactful teams at Stripe. You will lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance service-oriented architecture (SOA) adoption at Stripe. By collaborating with the team's technical leaders, you will ensure the software your team builds meets the needs of Stripe and its customers. We are a highly effective team that consistently delivers high-impact results while genuinely caring for one another. We expect you to bring your curiosity and critical thinking skills to this challenging domain. We are looking for individuals with a strong background in designing and

P-988 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the key engineers building out the Lakebase product. As the Technical Lead on the Lakebase Manager (LBM) team, you will drive, build, and operate the central control plane that owns the core logic for Lakebase: database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component (storage, compute, proxy, and console) and manages the full database lifecycle at scale, with a focus on reliability. This is a hands-on individual-contributor role: you lead the team technically and partner with the team's engineering manager, who owns people management and delivery planning. The stack is Go, Rust, PostgreSQL, and Kubernetes. The impact you will have: Set the technical direction for LBM and own the quality and reliability of what the team ships, driving execution on the hardest, highest-risk parts. Drive architecture and design, and write code on the hardest parts of your team's projects. Set and uphold high technical standards through a

About the role The Infrastructure Engineering organization comprises three sub-teams: Core Infrastructure (which manages the infrastructure systems that power Chime, including AWS, Networking, Kubernetes, Terraform, and Observability), Infra Platform , and Data Infra (which provides infrastructure support for the Data Engineering organization). This role is on the Core Infrastructure team , where we manage the Infrastructure components that power Chime and make sure our members are able to use Chime products reliably. This includes our Cloud operations, Observability layer and Compute layer. In this role, you can expect to Automate everything, including scaling, monitoring, and operations. Build tools to enable self-service both within the team and across all of Chime engineering. Tooling is written in Ruby on Rails and Go Lang. Design, build, and support Chime's cloud infrastructure using automation and infrastructure-as-code. Adapt new technologies to make Chime run as efficiently and reliably as possible. Partner with product development engineers to build services according to modern design patterns; for example, the 12 Factor App methodology. Develop strong relationships with engineers, managers, and other colleagues based on trust, empathy, and technical expertise. Be a constant advocate and adopter of AI tools and evangelize agentic AI workflows in a way that is safe and reliable. To thrive in this role, you have More than 2 years of cloud and Infrastructure experience Strong development experience in Ruby on Rails and Go Lang. Previous professional experience in a DevOps/SRE/ProdEng role supporting customer-facing web services. Previous success in enabling effective partnerships and strong communication with other engineers and teams. Experience managing Kubernetes clusters cloud hosted or self hosted. Experience building and managing highly-available public cloud infrastructure and services, with an emphasis on stability, scalability, and security. Experien

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-thr

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is our evaluation platform — the unified evals backbone that lets teams measure, trace, and trust the quality of LLM and agent systems across the company, powering trace/score ingestion, LLM-as-judge workflows, agent simulations, and LLM observability for the tens of millions of daily requests flowing through our LLM Gateway. We also own core platform surfaces including the Agent Gateway, open-weights model serving and batch inference, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, with a primary focus on our evals and LLM observability platform: the systems that let teams evaluate, trace, and continuously improve the quality of LLM and agent products. You’ll work across evaluation frameworks and SDKs, OpenTelemetry-based trace/score ingestion, LLM-as-judge and offline/online eval pipelines, agent simulations, data pipelines, backend services, and observability. This role is ideal for an engineer who enjoys building reliable measurement and quality primitives in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and evaluation methodologies are evolving quickly. You’re excited about this opportunity because you will… Build the infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Work on our unified evals platform — evaluation SDKs, OpenTelemetry trace/score ingestion, LLM-as-judge, offline and online eval pipelines, and agent simulations — alongside the LLM Gatew

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. We are looking for a talented Senior Software Engineer to join our team as we execute on a multi-year roadmap and prepare to launch and rapidly scale services that handle petabytes of data. Come do some of the most interesting work of your career as we Think Big and Go Far for our customers! This role can be based out of our New York City office (hybrid working model) or remotely in the North America region. What you’ll do Design, build, and operate control plane services powering an elastic and multi-tenant storage layer for thousands of database instances. Solve problems around maintaining high availability and performance during load spikes, hardware failures, cloud provider outages, and other disruptions. Contribute to a culture of operational excellence through dashboards, playbooks, and on-call improvements. Lead complex technical projects from planning through successful deployment with clear stakeholder updates. Partner closely with peers across database, cloud, and infrastructure engineering teams as well as project management to investigate incidents and develop long-term roadmaps. Mentor junior engineers and foster a collaborative team environment. We’re looking for someone with 5+ years of professional software development experience building, deploying, and operating multi-tenant cloud services with a focus on operational excellence. Experience with large backend/compiled codebases, such as Rust or C/C++. Experience with containerization and orchestration platforms (e.g. Kubernetes). Experience with observability tooling (e.g. time series metrics, dashboards). Experience with distributed systems

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's Developer Infrastructure - Test team exists for one reason: every Coinbase engineer should get fast, reliable test signals so the company can test and ship faster. As AI accelerates the pace of code generation, test infrastructure is becoming a critical path for how quickly Coinbase delivers value to customers. As a Staff Software Engineer on the Platform team, you'll set the technical direction for how Coinbase tests and ships software, owning the systems that turn testing into a speed advantage instead of a bottleneck. What you'll do: Define and own the technical strategy for test infrastructure across Coinbase engineering, with feedback speed as a core design constraint. Build and operate core test infrastructure services, including test orchestration, smart test selection, sharding, flaky-test detection, and test result analysis. Drive measurable improvements in test feedback speed and signal reliability so engineers can ship with confidence and without reruns. Own systems end to end, including architecture, observability, SLOs, and on-call operations. Partner with engineering teams across Coinbase to identify bottlenecks and turn them into platform improvements. Mentor engineers, raise technical standards, and shape how the organization approaches test infrastructure. Required Skills and Experience: 10+ years building and operating production so

InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our office or remotely in the United States. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 10+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery Strong coding skills in Go (Golang), Python, C, C++, or Rust Proven track record of building and operating large-scale distributed systems or cloud platform infrastructure Hands-on experience using Terraform, CloudFormation, or Ansible for automated infrastructure provisioning Demonstrated experience owning infrastructure in Linux,

We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack. Responsibilities Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management. Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages. Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations. Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability. Qualifications Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go. Experience with large-scale web crawlers is highly desirable. Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services. Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS. Demonstrated passion for writing clean, efficient, and scalable systems.