Senior Infrastructure Software Engineer Jobs

RDQ126R35 About Databricks At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation. Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed. About the Role We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions. As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms. Your Impact Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers. Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem. Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities. Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing. Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals. Engage with open-source communities and advocate for best practi

P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Le

P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services Attract top talent from across the industry. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven Represent Databricks at academic and industry conferences & events What we look for: 9+ years of experience in Data Security or related areas and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 15+ years of experience building large scale distributed systems with high availability Le

Senior DevSecOps Software Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for a Senior DevSecOps Software Engineer to support the Protected Tactical Enterprise Service (PTES) team in Colorado Springs, CO. As a DevSecOps Engineer on the Protected Tactical Enterprise Service (PTES) team, you will be responsible for integrating security practices within the development and operations lifecycle of tactical enterprise systems. You will collaborate closely with software developers, security teams, and infrastructure engineers to design, implement, and maintain secure, automated CI/CD pipelines, ensuring the delivery of resilient and compliant services in protected operational environments. Position Responsibilities: Leads the design, development, analyses, and maintenance of software systems that meet industry, customer and internal quality, safety, security and certification standards Partners with appropriate stakeholders to inform system definition and reviews translation of system-level requirements into software requirements and models that meet customer, operational and performance requirements and have clear traceability to design, code and test artifacts Reviews completion of software system-level analyses to identify risk, issues and opportunities; leads integration and deployment of mitigation actions throughout the software lifecycle. Leads code reviews to ensure alignment to requirements and standard Leads monitoring and reviewing test completion, verification processes and issue resolution for software systems Leads development of user documentation and training to educate end users about usage of software products Leads review of pr

JOB TITLE: Senior Security Software Engineer (Backend Focus) CLASSIFICATION: Exempt Approved by: Jitendra Patil EXPERIENCE: 5–10 Years Approved Date: REPORTS TO: Shivendra Ashish Revised Dates: POSITIONS SUPERVISED: Core Responsibilities: Security Microservices: Architect and build centralized security services (e.g., Authentication/Authorization, Secrets Management, PKI) using high-performance languages. Secure Libraries: Develop standard SDKs/Libraries that abstract complex security logic (Encryption, Input Validation) for other engineering teams. Automated Remediation: Build bots or "Self-Healing" code that automatically detects and fixes infrastructure misconfigurations or code vulnerabilities. AI Security ( AISec ): Build guardrails and "Firewalls" for internal LLM applications to prevent data leakage and prompt injection. Must-Have Skills: Backend Engineering: Expert in Golang or Python. Ability to write production-grade, testable, and concurrent code. System Design: Strong understanding of distributed systems, microservices architecture, and API design. Application Security: Deep knowledge of OWASP standards, Cryptography fundamentals, and Auth protocols (OAuth2/SAML/OIDC). DevSecOps : Experience integrating security checks into CI/CD pipelines (Linters, SAST/DAST wrappers). Preferred / Nice to Have: Experience with Policy-as-Code frameworks (e.g., OPA). Knowledge of Service Mesh security patterns. Experience contributing to open-source security projects. Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. Disclaimer: The above statements are intended to describe the general natu

Position Overview As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of the services that bring AI research and models into production across Diligent's global product suite. You will partner with AI researchers, product managers, and Staff Engineers as peers — leading through influence across the Platform AI organization rather than through reporting authority, on secure, scalable AWS Serverless solutions that translate ML and LLM research into commercial-quality, production systems. Key Responsibilities Drive technical direction and architecture for ML/LLM systems across multiple AI platform teams, partnering with Staff Engineers rather than managing ICs in isolation. Design secure, scalable, fault-tolerant AI/ML solutions using AWS Serverless technology — event-driven, highly observable, with infrastructure as code. Evaluate and prototype new AI technologies (LLM frameworks, model providers, agentic tooling) to guide build-vs-buy decisions across the organization. Serve as the go-to contact for architecture problems and questions across the Platform AI org, and regularly present and guide architecture discussions department-wide. Mentor Staff Software Engineers and Applied Scientists through constructive code review and design partnership. Collaborate with Applied Scientists and Product teams to productize AI capabilities, translating multi-quarter AI strategy into execution roadmaps and representing engineering's perspective to senior leadership. Design, build, and scale search and retrieval systems — including OpenSearch and semantic/vector search — that power discovery, retrieval-augmented generation, and other AI-driven product features. Lead through ambiguity, helping teams navigate undefined problems to successful delivery. Required Experience/Skills 10-15+ years of professional experience developing and owning high-scale, s

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. Our Software Engineers deliver high-value products for our customers, and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, and driving complex projects across our technical stack.. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Our product integrates deeply with the services that present security risk to a company, pulls and analyzes data from those sources, and surfaces potential security threats to our customers in real time with guidance to remediate them. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. As a Software Engineer on the Expansion Team, you’ll play a central role in shaping Vanta’s self-serve and product-led growth motion. Instead of working horizontally across compliance workflows, this team focuses on the full post-activation lifecycle—driving retention, expansion, and revenue automation across the product. You’ll build the core systems that power Vanta’s purchasi

Location Details: Pune, 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 hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join our Team Our team builds and operates the foundational infrastructure platforms that power GoDaddy's engineering organization. We own critical services including secrets management, software distribution, host security controls, and live patching for thousands of Linux systems running on OpenStack. This role sits at the intersection of Linux engineering, platform engineering, reliability engineering, and security. You will help define how core infrastructure services are designed, operated, automated, and scaled across the enterprise! What you'll get to do... Design, build, and operate highly available, scalable, and secure infrastructure platforms supporting large-scale Linux environments, with a focus on reliability, resiliency, and operational efficiency Lead the architecture, implementation, and operation of infrastructure services, including OpenStack, enterprise secrets management, package management, software promotion pipelines, and platform lifecycle management Develop and maintain automation solutions using infrastructure-as-code, Ansible, Python, Go, and self-service capabilities to improve efficiency and reduce operational overhead Build and improve observability and reliability practices through monitoring, logging, alerting, dashboards, managing incidents, analyzing underlying causes, disaster recovery, and service health reporting

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 A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering , you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. What You’ll Do Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. Partner with engineering and product

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Agent Gateway Team The Agent Gateway team owns the identity-aware infrastructure that connects enterprise AI agents to the tools, data, and services their organizations authorize. Every call from Claude, Agentforce, Codex, and internal/homegrown agents to a resource flows through us. We enforce authorization, isolate credentials, mint the right token per target, and produce the audit trails that security teams rely on. We are early in a rapidly evolving space. The standards for agent identity (MCP, OAuth token exchange, DCR) are being built under our feet. Our roadmap includes hardening the data plane for on-premises customer deployments, extending policy semantics beyond tool-level allowlists, adding native support for Agent-to-Agent brokered delegation, and scaling to tenants with thousands of virtual MCP servers. The Senior Software Engineer Opportunity Okta is looking for a Senior Software Engineer to help build the Agent Gateway. You will own features and components across the data and control planes, turning technical designs and product requirements into reliable production systems. Working alongside staff engineers, you will implement token exchange, request routing, credential resolution, and policy evaluation as agent identity specifications evolve. This is a hands-on software development role at the intersection of product, security, and infrastructure. You will ship services that handle agentic traffic reliably and performantly at scale. Wha

Senior Backend Software Engineer About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Senior Back-End Engineer who is excited to build and scale systems that power intelligent data experiences. If you’re passionate about clean architecture, reliable APIs, and high-performance infrastructure — and you love working in a dynamic startup environment — we’d love to meet you. The Responsibilities Design, build, and maintain Syllo’s backend systems and APIs to support our data platform. Collaborate closely with front-end engineers, product managers, and data teams to deliver scalable, high-quality features. Write clean, maintainable, and well-tested code. Work on system design and architecture to improve performance, reliability, and scalability. Integrate data sources and third-party tools as needed to enhance platform capabilities. Participate in technical design discussions, peer code reviews, and continuous improvement initiatives. Qualifications 6+ years of professional engineering experience. Strong programming skills in Ruby or Python. Experience developing APIs using frameworks such as Ruby on Rails, Flask, or Django. Proficiency with relational databases, full-text search engines, and/or vector databases. Familiarity with distributed systems and cloud technologies (e.g., GCP, Pub/Sub, Kafka). Exce

About the role Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Senior Software Engineer on the Machine Learning Platform team, you will design and build scalable systems spanning traditional machine learning and emerging AI workloads, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. You’ll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering. This role focuses on creating secure, reliable, and reusable platform capabilities that help teams choose the right approach, from conventional predictive models to LLM-powered and multi-step agentic systems, while maintaining strong standards for evaluation, observability, governance, privacy, and cost efficiency. In this role, you can expect to Design, build, and operate scalable ML and AI infrastructure on AWS. Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration. Build evaluation frameworks for non-deterministic AI systems, including offline benchmarks, regression testing, online quality signals, human feedback, and failure analysis. Establish observability, reliability, and governance for models and agents, covering traces, model and prompt versions, tool calls, latency, token usage, quality, safety, privacy, and cost. Help teams make principled architecture decisions across traditional ML, LLM-powered applications, and agentic workflows, and contribute to the platform’s technical roadmap. Build distributed training, batch inference, and large-scale processing systems using

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity About the Liquidity Platform The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics. The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business. About the Options Market Making Team The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls. The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, dev

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Ripple is building the Internet of Value: infrastructure that moves money as fast as information moves today. Every payment that flows across our network passes through real-time financial crimes controls: sanctions screening, wallet risk analysis, transaction monitoring, and travel rule compliance. The Financial Crimes Engineering team builds and operates that layer. This is the engineering that determines whether payments clear or hold, whether Ripple meets its regulatory obligations across jurisdictions, and whether the network can scale without compromising on compliance. The problem space is genuinely hard: high-throughput distributed systems, real-time decisioning, multi-source coordination across external compliance data providers, regulator-grade audit trails, and resilience. As a Senior Staff Software Engineer on this team, you will set the multi-year technical direction for the compliance control plane and drive its adoption beyond your own team. You will own the architecture of the vendor-agnostic, resilient, provable system that lets Ripple move value without moving financial crime, and you will shape how compliance engineering works across the company. This is a role for someone who defines which problems the organization solves, not only how they get solved: you will set the technical strategy other teams build against, establish the patt