Senior Software Engineer Observability Jobs

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our team. This is a hybrid role based in Bangalore/Hyderabad, reporting to the Senior Manager of Software Engineering. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. As a leader in our multitenant architecture, you will bring your vision and passion to help organizations worldwide harness speed and agility with a cloud-first strategy. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new t

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our team. This is a hybrid role, reporting to the Senior Director of Software Engineering in the Engineering department based out of Hyderabad. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new technologies/tools to accelerate feature velocity Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building t

P-1533 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. Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure . As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds . In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane . These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources. You will operate at an org-wide level , setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems . This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams. This is a unique opportunity for a senior technical leader who enjoys working in ambiguou

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the MarTech pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Software Engineer II on MPE, you will build and improve high-traffic consumer web experiences while contributing to the experimentation, instrumentation, and marketing integrations that help Affirm understand and grow consumer acquisition. You will work in a modern web stack across React, TypeScript, shared component systems, testing, performance, and observability, with opportunities to develop deeper expertise in technologies such as Google Tag Manager, analytics and experimentation platforms, conversion tracking, and marketing APIs. You will partner with senior engineers as well as Product, Design, Marketing, Analytics, and Data Engineering to ship reliable experiences and ensure measurement and privacy requirements are considered during development. This role is a strong fit for an engineer who enjoys building polished web products, learning new technical domains, and taking increasing ownership of systems that operate at scale. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Marketing & Privacy Engineering (MPE) builds trusted, privacy-aware consumer web experiences and measurement systems that enable sustainable growth. Within MPE, the MarTech pillar owns Affirm’s Logged-Out Web experiences, web experimentation, client-side tagging, marketing technology integrations, attribution, and measurement. As a Software Engineer II on MPE, you will build and improve high-traffic consumer web experiences while contributing to the experimentation, instrumentation, and marketing integrations that help Affirm understand and grow consumer acquisition. You will work in a modern web stack across React, TypeScript, shared component systems, testing, performance, and observability, with opportunities to develop deeper expertise in technologies such as Google Tag Manager, analytics and experimentation platforms, conversion tracking, and marketing APIs. You will partner with senior engineers as well as Product, Design, Marketing, Analytics, and Data Engineering to ship reliable experiences and ensure measurement and privacy requirements are considered during development. This role is a strong fit for an engineer who enjoys building polished web products, learning new technical domains, and taking increasing ownership of systems that operate at scale. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the

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 . The Stablecoin team within the Developer product group builds and operates the platforms that power stablecoin issuance, growth, and ecosystem expansion at Coinbase. As a Software Engineer, you'll help deliver a suite of international stablecoins by evaluating and integrating external partner APIs, building backend services that enable issuance and operations, and contributing to the rewards and growth systems that drive stablecoin adoption across Retail, Exchange, Prime, and Custody products. What you'll do: Build backend services that power stablecoin issuance, onboarding, and operations, including integrating external partner APIs with internal systems to launch new international stablecoins. Own end-to-end delivery of features from technical design through production, working closely with product managers, designers, and tech leads on scope and implementation. Support the smart contracts that mint, burn, and safeguard stablecoin supply, working with senior engineers on design and security review. Partner with cross-functional teams across Stablecoins UX, Growth, and Ecosystem to deliver rewards, incentive, and conversion features that drive stablecoin adoption. Execute reliability and quality improvements across the stablecoin platform, writing well-tested code and contributing to observability, monitoring, and operational excellence. Required Skills and Exp

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Driver team is dedicated to fostering a platform of high-quality service by empowering drivers to perform their best. We are looking for a product-minded engineer who wants to build and improve products that sit at the center of the core driver experience. Products you drive will solve pain points that matter most to drivers by streamlining key interactions, reducing friction, and creating systems that feel intuitive, fair, and supportive. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. Responsibilities: Design and implement backend features end-to-end with clear ownership, delivering well-scoped work from technical design through to production with moderate guidance from senior engineers Write clean, reliable, well-tested code that meets team standards and holds up in code review Participate actively in code reviews, giving specific and constructive feedback while continuing to develop your own review instincts Debug and resolve issues across backend services including performance bottlenecks, reliability problems, and data integrity issues Collaborate with product managers, designers, and partner engineering teams to clarify requirements and surface technical constraints early Contribute to technical discussions and help evaluate implementation approaches for new features Write unit and integration tests for your own code and develop familiarity with the team's broader testing and observability practices Address technical debt and make incremental improvements to existing services as part of regular development work Participate in on-call rotations, respond to production incidents, and support teammates in mitigating custome

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 . As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company. What You'll Do: Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale. Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models. Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently. Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance. Mentor junior engineers on building production-grade software, raising the team's engineering standards over time. Required Skills and Experience: 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments. Built and operated low-latency data or ML infrastructure (stream

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. At Okta, we are building the future of secure, enterprise-grade cloud automation and system connectivity. We are looking for a Software Engineer to join our global Automation Engineering team to design, scale, and govern our enterprise integration substrate using AWS cloud services and modern iPaaS platforms. This is a individual contributor role for a hands-on system engineer who executes moderately complex tasks, builds platform components and collaborates under senior guidance. What You'll do : Contribute technical design and execution for automation initiatives within the team, creating paved paths that enable builders across Okta to connect enterprise systems seamlessly. Design, build, and deploy high-throughput event-driven integration flows , API gateways, and async orchestration workflows using AWS architectures and iPaaS platforms. Build reusable frameworks , developer SDKs, self-service primitives, and integration templates to streamline automation delivery. Develop and maintain AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and builder enablement. Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance. Actively participate in code reviews, team agile ceremonies, and technical discussions Collaborate with security, compliance, and business stakeholders to ensure self-service automations are secure, resilient, zero-tr

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role We're hiring an experienced software engineer to build and own the data platform that helps teams across the company work with trusted data at scale. This role shapes the foundations for data warehousing, orchestration, business intelligence, governance, and Block's agentic workflows. You'll combine strong software engineering with hands-on experience working closely with data, building platforms that make it safer and faster for data practitioners to discover, produce, transform, govern, and use data. You Will Design, build, and operate core data-platform capabilities, including data warehousing, orchestration, business intelligence tooling, and data governance. Build reliable Python services and developer-facing tools that improve how teams create and operate data products. Develop scalable infrastructure as code with Terraform. Establish patterns that let teams manage petabyte-scale data while maintaining strong governance, security, reliability, and usability. Partner with data engineers, analysts, scientists, and product teams to turn their needs into durable platform capabilities. Evaluate and build agentic workflows that make data work more effective, while maintaining appropriate controls and observability. Set technical direction, raise engineering standards, and mentor other engineers. You Have Senior-lev

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. 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. As a SE II Engineer, Platform you will play a critical role helping to advance Ripple's production infrastructure and release pipelines. Infrastructure Engineers at Ripple are a hybrid of systems and software engineers who support the design and lifecycle of our hosted products. You will work closely with product engineers to support their infrastructure needs, ideally in a self-service environment. What you’ll do: Contribute to platform features across compute, authentication, service discovery, observability, and redundancy Implement architectural solutions under the guidance of senior engineers, with a growing awareness of tradeoffs between scale, cost, and maintenance Support and mentor junior engineers through code reviews and knowledge sharing Help deploy an

About the role As a Software Engineer on the AI Enablement team, you will contribute to the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime. You'll work on systems like Archimedes, Bosun , and easyRAG that power internal AI assistants, developer workflows, and retrieval-backed applications. These platforms make it easier for teams across the company to build, adopt, and scale LLM-powered tools safely and effectively. This team defines Chime's golden paths for AI: opinionated but flexible patterns that help teams move quickly while maintaining safety, reliability, cost control, and governance. In this role, you'll build on and extend these patterns — shipping real features on production AI platforms while developing your depth in AI-specific engineering practices. You'll collaborate with Platform Engineering, Security, Risk, Legal , and product teams to build scalable, well-governed systems that support internal AI use cases from early prototyping through production adoption. In this role, you can expect to Contribute to and extend internal AI platforms such as Archimedes, Bosun, and easyRAG, helping teams develop and scale LLM-powered applications and workflows Build reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to develop safe, high-quality AI-powered tools Prototype and productionize new AI capabilities alongside senior engineers, turning successful patterns into durable platform features Apply Chime's golden path patterns for LLM usage, and help refine them as you deepen familiarity with the systems Build features that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way Learn and apply evaluation, observability, and cost-management practices across AI systems — including quality, latency, safety, and spend Partner with Security, Risk, and Legal to implement guardrails for responsible AI development and

About the Role The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. Key Responsibilities Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. Drive architectural decision

About the Role The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation. Key Responsibilities Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements. Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls. Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth. Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems. Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities. Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable. Qualifications Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff). Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures. Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud techn

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr Software Development Engineer to join our team. This is a hybrid role, reporting to the Senior Director of Software Engineering in the Engineering department. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new technologies/tools to accelerate feature velocity Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, viewing d