Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture.  Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.

The People Systems team engineers and operates platforms that support the employee lifecycle, including HR, payroll, learning, and talent systems.  We balance deep platform configuration with extensibility, integrations, and data integrity to deliver reliable, compliant systems that scale with the organization.

As a Sr. HR Systems Engineer on the People Systems team, you will operate as a technical leader within the People & Culture (P&C) domain, owning complex, high-impact engineering work that extends beyond traditional application configuration. This role focuses on building scalable, reliable, and extensible solutions across Workday, People data, integrations, and automation that support the full employee lifecycle and enable the business to operate with accuracy, speed, and insight. You will work at the intersection of enterprise platforms, custom engineering, and data, helping evolve People Systems from primarily UI-driven administration into a product-grade, engineering-led capability within Product Engineering.

This role is suited for a senior engineer who is comfortable working across configuration, code, integrations, and data - and who enjoys solving ambiguous, cross-functional problems in a regulated enterprise environment.

You Will:

• Act as a senior technical owner within the People Systems domain, responsible for designing and delivering complex solutions across Workday, integrations, and supporting platforms
• Lead engineering efforts related to People data flows, including hire-to-retire lifecycle events, data synchronization, and downstream consumption by Finance, Security, and Analytics
• Design and implement custom extensions and integrations using tools such as Workday Studio, APIs, middleware, or AWS-based services
• Partner with Integrations and Automation teams to build event-driven, automated People workflows (e.g., joiner/mover/leaver, access provisioning, data updates)
• Own the technical design and implementation of People-related integrations and data contracts, ensuring reliability, auditability, and clear ownership
• Contribute to People reporting and analytics initiatives by enabling high-quality, well-modeled People data for BI, compliance, and workforce insights
• Identify opportunities to reduce manual People operations through automation, configuration-as-code patterns, and reusable components
• Provide technical leadership and mentorship to other People Systems engineers, reviewing designs and code and setting quality standards
• Partner closely with Product Managers, HR stakeholders, Security, and Compliance to translate People domain needs into robust technical solutions
• Participate in on-call rotations and operational ownership for People Systems, ensuring reliability and rapid issue resolution

You Have:

• 6-8 years experience building and supporting enterprise systems, with deep exposure to HR/People platforms such as Workday
• Experience extending enterprise platforms through custom development, APIs, middleware, or platform-specific tooling (e.g., Workday Studio or similar)
• Strong understanding of system-to-system integrations, data modeling, and event-driven workflows
• Comfort working across both UI-driven configuration and code-based solutions
• Experience operating in environments with compliance, audit, and security requirements (SOX, ITGC, access controls)
• Ability to lead technical initiatives independently and make sound architectural decisions
• Strong communication skills and comfort collaborating with non-technical stakeholders
• Experience mentoring engineers and raising the technical bar of a team
• Experience with People data analytics, reporting pipelines, or workforce metrics
• Familiarity with identity lifecycle management and security integrations tied to HR systems
• Experience building internal tools or automations that support HR or People Operations teams
• Exposure to cloud platforms (AWS), scripting languages, or automation frameworks
• Experience working in Product Engineering organizations rather than traditional IT

Automation is the key to creating highly reliable and secure large-scale software systems. Are you someone who engineers solutions to problems rather than simply fixing the same thing over and over again? Can you protect Smartsheet against attackers?

We are looking for a Senior DevSecOps Engineer to join our global Security Operations team. In this critical role, you will be a leader in maturing our security and reliability posture by treating both as software engineering challenges. You will engineer and operate a highly reliable, scalable, and defensible production environment, directly impacting our ability to deliver a world-class service to our customers 24/7. This is a unique opportunity to blend deep expertise in Site Reliability Engineering (SRE) and modern Security Operations, working at the intersection of infrastructure, automation, and security to build a platform that is resilient and secure by design.

You Will:

• Engineer Secure and Resilient Infrastructure: Design, build, maintain, and improve secure, scalable, and highly available infrastructure in our multi-cloud environment (primarily AWS) using Infrastructure as Code (IaC) principles with tools like Terraform, Kubernetes, and Helm.
• Automate Proactive Security: Engineer and automate threat detection, incident response, and vulnerability management processes. You will build the tools and workflows that allow us to respond to threats at machine speed.
• Secure the Software Development Lifecycle: Architect and secure our CI/CD pipelines, integrating automated security tooling (SAST, DAST, SCA) to provide developers with fast, actionable feedback.
• Master Container Security: Manage, operate, and secure our container orchestration platform (Kubernetes), implementing best practices for container security from the registry to runtime, including knowledge of hardening requirements such as CIS Benchmarks or DISA STIG.
• Lead Incident Response: Act as a technical lead during security and reliability incidents, driving resolution and conducting blameless post-mortems to engineer preventative solutions.
• Drive Automated Compliance: Implement and automate technical controls to ensure continuous compliance with frameworks such as FedRAMP, SOC 2, and ISO 27001.
• Mentor and Lead: Serve as a subject matter expert for security and reliability, mentoring other engineers and championing a culture of operational excellence and security ownership across the organization.

You Have:

• 8+ years of progressive experience in technology, with at least 5 years in a hands-on senior role such as Site Reliability Engineering, DevOps, or Security Engineering.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Expert-level proficiency in at least one major cloud provider, preferably AWS, with deep knowledge of core infrastructure and security services.
• Expert-level proficiency with Infrastructure as Code, particularly Terraform.
• Expert-level proficiency in a scripting or programming language such as Python, Go, or Ruby, with a proven history of building automation and custom tooling.
• Deep experience with containerization and orchestration technologies (Kubernetes), including securing containerized environments.
• Proficiency with the modern security operations toolchain, including SIEM, EDR, and vulnerability scanning technologies.
• Experience integrating security tools (SAST, DAST, SCA) into CI/CD pipelines.
• A critical thinker with a proven ability to troubleshoot complex problems in high-pressure production environments.
• Excellent verbal and written communication skills and a collaborative spirit. This will include fluency in English.

Nice to Have

• Advanced industry certifications such as CISSP, CISM, OSCP, or cloud-specific security certifications.
• Experience with compliance frameworks like FedRAMP, ISO27001, SOC2.

We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

As a Finance Integration Engineer, you'll design and implement scalable solutions across our finance technology ecosystem, automate financial workflows, integrate business systems, and ensure production reliability. If you've built integrations that finance teams actually rely on, solved messy data problems at scale, and want to shape architecture from first principles, this is the role.

What You'll Do

Design and Develop Finance System Solutions

• Design, develop, and deploy ERP(preferably Netsuite) enhancements and customizations that drive better business processes
• Build using SuiteCloud platform: SuiteScript (1.0 & 2.x), SuiteAnalytics, SuiteBuilder, SuiteFlow, SuiteTalk, and APIs
• Configure custom records, fields, forms, roles, permissions, saved searches, and reports
• Develop and maintain workflows and automation across finance systems
• Build reusable components and libraries to accelerate future development
• Provide technical consulting, best-practice recommendations, and solution architecture

Build and Own Integration Architecture

• Design, build, and maintain integrations connecting our ERP with upstream and downstream systems: HR (such as Rippling, Workday), T&E (such as Navan/Expensify/Concur), vendor management (Zip/Coupa), treasury systems, and banking feeds
• Build and manage integrations using Workato, n8n, or equivalent middleware platforms
• Implement real-time and batch integration patterns using REST APIs, JSON, XML, OAuth, SFTP, and event-based architectures
• Work with cross-functional teams (Finance, HR, Procurement, IT) to define integration requirements and architectures
• Evaluate vendor APIs and challenge poor designs early in the procurement process

Ensure Reliability and Compliance

• Own end-to-end integration health: monitor data flows, troubleshoot failures, reconcile mismatches
• Provide production support and resolve issues promptly
• Maintain 99%+ system availability across all critical integrations
• Design and implement SOX-compliant integration controls (change management, access controls, data validation)
• Support ITGC audits with comprehensive documentation and control testing evidence
• Implement logging, observability, alerting, and version control practices

Collaborate Across Teams

• Partner with finance (accounting, FP&A, treasury), functional analysts, and engineering teams to ensure integration reliability
• Translate business requirements into technical specifications and data flow diagrams
• Support multi-environment deployment pipelines (DEV, TEST, UAT, PROD)
• Conduct regular system upgrades and manage deployment windows with minimal business disruption

Document and Scale

• Prepare detailed technical documentation for all customizations, integrations, and configurations
• Write detailed design and specification documents: use cases, test cases, exception handling, runbooks
• Create and maintain sequence diagrams, data mapping specifications, and error-handling flows
• Design and architect scalable solutions collaboratively with other developers
• Establish integration governance standards and best practices for the growing team
  
  

  What You'll Bring

  Required

  • 5-8 years in integration engineering, with 5+ years of hands-on ERP development/integration experience (non-negotiable)
  • Deep ERP technical expertise:
  • SuiteCloud platform: SuiteScript (1.0 & 2.x), SuiteAnalytics, SuiteBuilder, SuiteFlow, SuiteTalk
  • ERP APIs and integration patterns
  • Custom records, fields, forms, roles, permissions, saved searches, and reports
  • Integration tools expertise: Experience with Workato, Boomi, MuleSoft, or similar middleware platforms 
  • Technical foundation: REST APIs, JSON, XML, web services, OAuth, SFTP, event-based architectures
  • Cross-system integration experience: Proven ability to integrate HRIS, T&E, procurement, treasury, and banking systems with ERP platforms
  • Operational excellence: Track record maintaining high-availability systems (99%+ uptime) in production environments
  • Compliance mindset: Experience implementing SOX and ITGC controls in financial systems
  • DevOps practices: Version control (Git), CI/CD pipelines, logging/monitoring tools (Datadog, Splunk, or equivalent)
  • Problem-solving ability: Strong analytical and troubleshooting skills; ability to diagnose complex data flow issues independently
  • Communication skills: Ability to explain technical concepts to non-technical stakeholders, write detailed specifications, and document clearly

  Preferred

  • Advanced ERP certifications: SuiteFoundation, Administrator, SuiteCloud Developer
  • Data quality focus: Exposure to Master Data Management (MDM), reconciliation frameworks, or data validation controls
  • Industry background: Prior work in fintech, crypto, payments, or high-scale transactional businesses
  • Architectural thinking: Experience designing integration architecture, evaluating build vs. buy decisions, or establishing integration standards
  • Multi-currency/multi-entity: Experience with complex organizational structures, international operations, and multi-subsidiary implementations

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

THE ROLE

Everpure (formerly Pure Storage) is a leader in modern data storage, providing enterprise data cloud solutions that power mission‑critical workloads globally. As part of the Digital Transformation organization focused on the G&A domain, you will use your software engineering and integration expertise to design, build, and operate production‑grade integration and automation solutions on top of large‑scale enterprise platforms.

You will work closely with engineers, internal services technology teams, and business stakeholders to identify high‑impact opportunities and deliver robust, secure, and maintainable integration capabilities. This is a high‑visibility role that will shape the future employee experience at Everpure.

WHAT YOU'LL DO

• Design, build, and maintain Workday integrations using Workday Studio, Cloud Connect (CCW/CCB), EIBs, and RaaS.
• Design, build, and maintain integrations across HR, Legal, and other internal service platforms (including Workday, ServiceNow, ERPs, payroll/benefits vendors, finance systems, identity management, and case management tools) leveraging REST/SOAP APIs, OAuth, and JSON.
• Own the integration lifecycle end to end: gather and refine requirements, design technical solutions, develop and deploy integrations, configure appropriate Workday security, and provide ongoing support for inbound and outbound integrations.
• Ensure integration reliability, performance, and data quality by proactively monitoring jobs, troubleshooting failures, resolving data discrepancies, and optimizing integration patterns, reports, and complex calculated fields.
• Maintain strong controls and documentation by creating clear technical specifications, process flows, test scripts, and runbooks, and by supporting SOX, audit, and GDPR‑related evidence requests.
• Partner with cross‑functional stakeholders and stay current on platform capabilities to identify integration‑driven process improvements and to effectively leverage new Workday and other platform features.

We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
• 5+ years of hands‑on experience designing, building, and supporting integrations for SaaS or other enterprise platforms (functional and/or technical).
• Experience working in and driving an agile delivery process to manage work, iterate quickly, and deliver measurable customer outcomes.
• Technical acumen in SQL, JSON, and secure server‑to‑server API integrations (REST/SOAP, OAuth); scripting or coding experience strongly preferred.
• Proficiency in at least one programming language (e.g., Python, Java, Go) to automate integration workflows, tooling, and quality checks; solid understanding of core software engineering concepts.
• Hands‑on experience with enterprise platforms such as Workday, ServiceNow, Snowflake, Boomi, Salesforce, or similar (Workday experience strongly preferred).
• Demonstrated experience developing robust integrations and APIs that extend platform capabilities and enable end‑to‑end automation across systems.
• Strong analytical, communication, and collaboration skills, with a proactive, ownership‑driven approach to problem solving and production support.

#LI-ONSITE

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

• Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
• Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
• Be a data architect for Finance , bring different data into cohesive and answer critical questions
• Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
• Scale data infrastructure to support large volumes and complex financial models.
• Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
• Translate complex financial concepts and KPIs into scalable, maintainable data models.
• Implement strong controls for data quality, lineage, and governance.
• Maintain clear documentation of data transformations, metric definitions, and AI model logic.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
• Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise 
• Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
• Experience with data orchestration tools (Airflow, dbt) and tableau platform
• Hands-on experience with Python, PySpark, or R for automation and model integration.
• Proven ability to translate financial logic into scalable data models.
• Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred. 
• Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
• Ability to evaluate and apply AI responsibly in financial contexts.

 #LI-ONSITE

THE ROLE

At Portworx by Everpure, our product enables stateful containers in production, and we've been recognized as a Gartner Cool Vendor. Our technology encompasses a distributed storage platform and integrated controls with container schedulers such as Kubernetes, Mesosphere, Rancher, Nomad, and Docker Swarm. Our diverse customer base ranges from Global 2000 enterprises to cloud-native startups, running workloads on-premises and in public clouds.

WHAT YOU'LL DO

This is a senior technical role within the Technical Services COE team. As a Portworx Escalation Engineer (EE), you will need to tackle the most intricate and challenging customer issues, serving as the final support tier before escalation to development. You will offer technical expertise and troubleshooting assistance to Technical Service Engineers (TSEs) to resolve our most complex cases. If an issue persists or requires a code fix, you will effectively engage and communicate with development resources to identify root cause and present findings to our TSEs and customers to ensure timely resolution with the highest quality of service. The primary aim of this role is to minimize escalations to the Development team, identify opportunities for improvement, and to prevent future escalations from occurring. 

This position is well-suited for a support professional with robust interpersonal skills, seeking a dynamic, high-performance, entrepreneurial work environment. The ideal candidate should embrace the unpredictable nature of daily work in a rapidly expanding business.

• Offer technical expertise throughout all phases of the Portworx case management process for issues encountered in the field.
• Provide initial code review and analysis of current issues. 
• Resolve escalated service requests while maintaining a high level of service engagement, communication, and composure.
• Collaborate with customers and cross functional team members to troubleshoot and resolve escalated cases. 
• Act as the conduit between Technical Services and Engineering teams. 
• Proactively identify and resolve systemic issues in the field. 
• Mentor and coach TSEs and cross functional team members. 
• Assume ownership of communications for assigned issues, ensuring clarity and professionalism.
• Share and document knowledge through FAQ/KB articles, both internal and customer-facing. 
• Manage multiple projects/support cases concurrently. 
• Participate in a weekly on-call rotation. 
• Thrive as a team player in fast-paced and startup environments.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

We're looking for candidates with experience in supporting SaaS environments with a background in compute infrastructure, storage infrastructure, and container ecosystems, both on-premise and in the cloud. Technical expertise with one or more cloud providers (such as AWS, GCP, or Azure) is essential. Proficiency in Portworx, Kubernetes, Docker, Tanzu, VMware container solutions (CKA certification is required). Experience with one or more devops tools like Ansible, Chef, Puppet, Terraform is required. 

Your experience in a senior-level customer-facing role, providing various levels of technical guidance, will be pivotal. Furthermore, your ability to communicate effectively and work closely with our Product Development team for customer escalations will greatly contribute to the success of this role. You will be expected to resolve customer problems and escalations using appropriate resources.

• Bachelor's degree in Computer Science (Master's preferred) or a minimum of 8+ years of experience in customer-facing technical support work. 
• Experience in supporting SaaS products, with working knowledge of Portworx. 
• Demonstrated working experience supporting vSphere, Kubernetes, Containers, and Public Cloud platforms.
• Strong written, verbal, and collaboration skills.
• Strong understanding of GoLang.
• Minimum of 2 years experience in supporting production applications either on premises or in a cloud environment.

#LI-ONSITE

About the team & role:

• The Information Security organisation advances the overall state of security at Rubrik through critical initiatives and the coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.

• We are seeking a Senior Security Engineer to bridge the gap between traditional Security Operations and modern Data Engineering. You will be responsible for the day-to-day health of our SIEM ecosystem while simultaneously contributing in transition toward a Security Data Lake architecture. This is a hands-on, high-impact role that leverages Programming, Cloud Warehouses and AI to defend a global multi-cloud footprint.

What you’ll do?

• SIEM Administration: Handle day-to-day operations of market-leading SIEM platforms (e.g., Splunk, Sentinel, or Chronicle). This includes log ingestion from a variety of sources like Network devices, 3rd party vendor APIs,  Cloud Services, Webhooks etc..  parsing/normalisation to a common schema, health monitoring checks,  User access management and Cost Monitoring.
• Security Data Lake Operationalisation: Develop and maintain the infrastructure/Platform that moves security telemetry from raw sources into Snowflake, BigQuery, or Databricks. Tune/Optimise Ingestion at Scale for cost efficiency and  Enable SOC team and Threat Detection team to leverage the Security Data lake for their Search and Analytics workloads. 
• AI & Agentic Automation: Proactively integrate AI tools and LLMs into daily workflows; develop AI agents to automate Tier 1/2 SecOps tasks like Incident Investigation and Response.
• Cross-Team Collaboration: Partner with global teams across time zones and manage Stakeholder communication.

Experience you'll need:

• Experience: 5+ years in Security Ops and Engineering, focusing on  Security Data management and Automation.
• SIEM and SOAR Mastery: Hands-on experience with at least one market-leading SIEM (Splunk, Microsoft Sentinel, Elastic) and SOAR platform (Palo Alto XSOAR, Splunk SOAR).
• Cloud Data Warehousing: Practical experience administering or developing within Snowflake, BigQuery, and/or Databricks. Prior experience in building/maintaining data platforms that can manage  50-100 TB/day data is a big plus.
• Programming: Strong proficiency in Python and Shell scripting.
• Data Engineering Knowledge: Understanding of Cloud warehouse and  Lakehouse concepts, Open Table formats and Search engines for a composable Security Data stack.
• Cloud Infrastructure: Solid experience in one major cloud (AWS/GCP/Azure); Multi-cloud familiarity is a major plus.
• AI Fluency: Demonstrated experience or strong inclination towards utilising various AI tools to significantly enhance effectiveness (force multiplier) and solve complex business problems, particularly within SecOps and GRC domains.
• Nice to have
  • Exposure to Cloud Logging frameworks and best practices for Security Telemetry ingestion.
  • Familiarity with container orchestration (Kubernetes/EKS/GKE).
  • Interest/experience in building AI-driven security workflows.
  • Knowledge of modern CI/CD patterns and DevOps security integrations.
  • Experience with Terraform or other IaC tools.

About Rubrik

Rubrik empowers the world to stay in motion by organizing and protecting our customers' information. We’re a team of change makers, defining the future of cybersecurity. Our culture of empowerment encourages everyone to share their ideas, run with them, and leave their mark on what we’re building. United by our purpose to secure the world’s data, we continue to reach new heights. And the best part? We’re just getting started! Everyone here has the opportunity to grow by leaps and bounds, and there is unlimited potential in front of us. Let’s pioneer the next frontier in cybersecurity by securing the world’s data, together.

Information Security - Who We Are

The Information Security (InfoSec) organization advances the overall state of security at Rubrik through critical initiatives and coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information.

Position Overview

As an InfoSec SRE Intern focused on monitoring and alerting on our security infrastructure systems. You will work closely with our security engineering and operations teams to develop and maintain observability solutions. You will gain practical experience configuring cloud-native monitoring tools, ingesting metrics into Prometheus, and creating insightful dashboards and alerts in Grafana.

This internship is an excellent opportunity for students or recent graduates interested in Site Reliability Engineering, DevOps, or cloud infrastructure.

Key Responsibilities

• Assist in implementing and maintaining monitoring and alerting systems using native cloud monitoring services (e.g., AWS CloudWatch, Azure Monitor, Google Cloud Operations).
• Respond and remediate operational issues impacting performance or availability.
• Configure Prometheus to scrape and store metrics from cloud resources.
• Develop dashboards and alerts in Grafana to enable proactive incident detection.
• Collaborate with teams to identify key reliability and performance indicators.
• Support incident response by tuning alert thresholds and helping diagnose alerts.
• Participate in documenting monitoring procedures and best practices.
• Learn and apply SRE principles focused on reliability, scalability, and automation.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, or related field.
• Basic understanding of cloud computing concepts (AWS, Azure, or GCP).
• Familiarity with monitoring and observability tools like Prometheus and Grafana is a plus.
• Knowledge of scripting or programming languages (e.g., Python, Bash) is desirable.
• Strong problem-solving skills and eagerness to learn.
• Good communication skills and ability to work collaboratively.

What We Offer

• Mentorship from experienced SRE professionals.
• Hands-on exposure to cutting edge technology.
• Opportunity to contribute to meaningful projects with a direct impact on system reliability.
• Flexible work arrangements.
• Potential for full-time opportunities after successful completion.

Introduction 

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

Job Summary

The Principal Applied AI Engineer will lead the development of internal AI capabilities that empower teams across Poppulo to work faster, smarter, and securely. This role partners with business leaders, engineers, and IT teams to identify high-value opportunities for AI and translate them into practical solutions including GPT assistants, AI agents, and automated workflows while protecting company data, customer trust, and regulatory compliance.

Reporting to the Chief Information Security Officer, this position focuses on driving internal AI innovation effectively and safely across the organization.

The ideal candidate combines strong AI skills & security engineering with a passion for turning cutting-edge AI capabilities into real outcomes.

Primary Responsibilities

• Define the technical direction and implementation standards for internal AI solutions, ensuring consistent, secure, and scalable adoption across teams.
• Provide technical leadership across internal AI initiatives by evaluating solution approaches, guiding technical decisions, and balancing business value, feasibility, and risk.
• Lead the design and deployment of internal AI solutions such as GPT assistants, AI agents, integrations, and automated workflows.
• Implement technical controls, monitoring, and safeguards for AI-enabled systems.
• Develop integrations between AI systems and enterprise platforms including internal tools, knowledge bases, and business applications.
• Partner with business teams to identify and deliver AI solutions that improve productivity and operational efficiency.
• Work with Security, Privacy, and Legal teams to ensure AI solutions align with internal policies, compliance requirements, and regulatory standards.
• Collaborate with IT, Engineering, and DevOps teams to ensure AI solutions are reliable, secure, and scalable.

Leadership Responsibilities

Although this role is an individual contributor, the Principal Applied AI Engineer will:

• Be a technical advisor to the CISO and business leaders on AI capabilities and risks.
• Encourage experimentation and innovation while ensuring AI solutions are deployed with appropriate safeguards.
• Foster cross-functional collaboration between IT, Security, Engineering, Product Development, and business units.

Qualifications

• 8+ years of experience in AI engineering, or machine learning engineering.
• Hands-on experience designing and implementing AI security controls and guardrails, including mitigation of prompt injection, data exfiltration risks, output validation, monitoring and access control for AI systems.
• Experience designing and deploying AI assistants, GPT-based tools, or agent-driven workflows integrated with enterprise systems or internal data.
• Strong experience securing and integrating APIs, MCP, automation frameworks, and enterprise systems.
• Experience working with AI model platforms or APIs such as OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or similar technologies.
• Experience building systems within cloud environments (AWS, Azure, or GCP).
• Ability to translate business requirements into scalable AI solutions while considering speed, security, reliability, and enterprise operational needs.

Who We Are

We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.

We live the Poppulo values each day, as they are key to everything we do.

• Bring Your Best Self
  We show up authentically, are self-aware and always strive to be better.
• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.

Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.

Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

Senior Security Engineer – Application Security (AI Security Focus)

Reporting To: Manager, Security Engineering Function/Dept: Business Technology / Security

About the Role

You will drive platform security initiatives with a primary focus on securing AI/ML systems and models. You’ll partner with engineering, product, and data science teams to ensure robust security for AI-powered features and infrastructure, while maintaining coverage for traditional AppSec domains.

Responsibilities & Accountabilities

• AI Security Leadership: Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
• Vulnerability Management: Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
• Threat Modeling & Red Teaming: Conduct comprehensive threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems. Assess risks such as adversarial attacks, model theft, data poisoning, privacy risks, and other emerging threats to AI/ML models and pipelines.
• Automation & Tooling: Build and maintain automation pipelines for AI/ML security testing and monitoring.
• Cross-Functional Collaboration: Partner with Engineering, Product, and Data Science to embed security into AI/ML development lifecycles.
• Incident Response: Support detection, triage, and remediation of AI/ML-specific security incidents.
• Training & Advocacy: Facilitate secure development training focused on AI/ML risks and best practices.
• Metrics & Reporting: Track and report status of vulnerabilities, including AI/ML-specific metrics (e.g., model robustness, data integrity).
• Program Ownership: Design and execute quarterly OKRs for AI/ML security initiatives.

Performance Measurement

• Demonstrates deep understanding of AI/ML security risks and mitigations.
• Leads identification, triage, and management of AI/ML and application security issues.
• Establishes routines for updating documentation, runbooks, and dashboards with AI/ML security content.
• Effectively communicates complex AI/ML security topics to technical and non-technical stakeholders.

Educational and Experience Requirements

• 5+ years in information security, with significant experience in application security and AI/ML security.
• Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC. · Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
• Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox, MLFlow security plugins).
• Development or scripting experience (Python preferred; experience with AI/ML frameworks a plus).
• Excellent communication skills.

Preferred Qualifications

• Bachelor’s degree in a related field.
• Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security – Specialty, GIAC, CISSP, CEH are highly desirable).
• Experience working directly with software developers and data scientists to improve code/model security.

Competencies and Behaviors

• Establishes credibility among Engineering and Data Science counterparts.
• Advocates for AI/ML security best practices.
• Drives tasks to completion and maintains accuracy of information.
• Effective prioritization and escalation to management.

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 Organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. You may work on a wide variety of critical business areas including: 

• Core Infrastructure: We’re the home for Stripe's critical tier 0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure: We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models.
• Security : We’re a newly formed security team tasked with building the guardrails to extend Stripe’s secure platform, allowing engineers to leverage new technologies that best meet their needs. We work on enabling new technologies for product and platform teams, prioritizing on business needs as well as building the tooling and controls that further enables self-serve, guaranteeing a high bar is maintained across all Stripe surfaces with security in-built into foundations.
• Application and Revenue Platform: Building the powerful and scalable infrastructure that powers the company’s innovative application offerings and supports the seamless processing and management of Stripe’s global transaction volumes.

Team Matching: exact team matching for one of the subteams within one of these orgs will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. 

What you’ll do

We’re looking for Software Engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 6-12+ years of industry software engineering experience (does not include internships or co-ops)
• Ability to write well-factored algorithms and have experience with commonly used data structures and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial
• Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

Opportunity

Get Well is seeking an experienced and highly motivated Staff Data Software Engineer to help build and optimize our cloud-native data platform that powers AI, analytics, and clinical applications. You will play a key role in developing scalable, compliant data infrastructure and pipelines designed specifically for the healthcare domain, while mentoring junior engineers and leading cross-functional initiatives to drive innovation.

This is a hands-on engineering role suitable for someone who thrives at the intersection of modern data engineering, cloud-native platforms, DevOps, healthcare data, and AI enablement.  Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.

Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain scalable data pipelines supporting batch and real-time use cases.
• Develop and maintain production-grade data workflows that move and transform sensitive healthcare data across distributed systems at scale.
• Work with Spark, Databricks, Airflow/Temporal, and dbt to ingest, process, and manage structured and unstructured data.
• Design and implement reusable, efficient data models for analytics and AI/ML use cases.
• Ensure platform resiliency using CI/CD pipelines, observability tools, and logging frameworks.
• Leverage Infrastructure as Code practices using Terraform, CloudFormation, or equivalent to manage cloud resources.

Healthcare Data Integration & Compliance

• Ingest and normalize complex healthcare data sets (FHIR, HL7, CCDA, Claims, EDI, Epic/Clarity, etc.).
• Familiarity with clinical coding systems and ontologies, such as ICD-10, SNOMED CT, LOINC, or RxNorm.
• Collaborate with compliance and security teams to ensure adherence to HIPAA, GDPR, and internal controls.
• Implement fine-grained access control, encryption at rest and in transit, audit logging, and data lineage strategies.

AI & GenAI Enablement

• Work alongside AI/ML and data science teams to build pipelines feeding predictive and generative models.
• Tune data infrastructure for performance across distributed systems and hybrid data stores like SQL, MongoDB, ClickHouse.
• Prioritize scalability and flexibility in designing LLM-compatible pipelines and use GenAI best practices for healthcare use cases.
• Utilize Spark clusters and query frameworks such as SparkSQL and SPARQL for large-scale data access.
• Utilize and manage graph databases (e.g., Neo4j, Amazon Neptune, or similar) to support complex relationship modeling and healthcare data connectivity use cases.
• Enable high-quality training data pipelines and implement feature stores and model serving systems.

Data Governance, Quality & Monitoring

• Implement data quality frameworks and establish robust validation processes using tools such as Great Expectations or equivalent.
• Build automated anomaly detection tools for data drift and integrity checks.
• Support data cataloging, metadata management, and ensure consistent documentation across datasets.

Collaboration, Mentorship & Leadership

• Act as a mentor to junior engineers through code reviews, paired programming, and technical guidance.
• Lead cross-functional projects with teams including clinical informatics, architecture, security, product, and design.
• Contribute to and enforce data engineering best practices, patterns, and platform standardization.

Learning and Innovation

• Research and evaluate emerging tools and frameworks (e.g., Apache Iceberg, Delta Lake) for incorporation into the platform.
• Proactively identify opportunities to improve architecture and leverage evolving trends in GenAI and cloud-native computing.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8–12 years of experience in software or data engineering roles including at least 3 years working with large-scale or cloud-native data systems.
• Must have prior software development experience in the healthcare domain—including payers, providers, health tech, medical devices, or life sciences.
• Functional knowledge and direct experience with healthcare data types (FHIR, HL7, Claims, EDI, Epic/Clarity, etc.).
• Demonstrated experience in designing, implementing, and maintaining data pipelines that move and transform healthcare data with production-level quality, reliability, and performance.

Technical Skills

• Advanced programming experience in Python, SQL, and distributed processing with Apache Spark.
• Cloud-native platform experience with Azure.
• Proven capability with Infrastructure as Code (Terraform, CloudFormation) strongly preferred.
• Experience with data warehouses and lakes including Snowflake, Databricks, and ClickHouse.
• Familiarity working with GenAI tools and ML pipelines in production environments.
• Strong skills in data modeling, job orchestration (Airflow), data transformation (dbt), and pipeline optimization.
• Experience with DevOps/tooling stacks for CI/CD, containerization, observability, and cost optimization.
• Familiarity with data validation and anomaly detection tools such as Great Expectations.
• Experience with SparkSQL and SPARQL is a plus.

Professional Attributes

• Excellent communication and collaboration skills across cross-functional, domain, and technical stakeholders.
• Ability to lead initiatives and drive data engineering standards.
• Self-driven, with a commitment to delivering high-quality solutions in regulated and sensitive environments.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary

We are seeking a Sr SDE – Reliability and Resiliency Engineering to drive platform reliability, resilience, and distributed systems robustness across the Reltio multi-cloud platform.

This is a hands-on engineering role focused on strengthening reliability practices, operationalizing chaos engineering, improving observability-driven validation, and embedding resilience into the software development lifecycle.

The ideal candidate has 5–8 years of experience building and operating distributed systems, good knowledge of multi-cloud environments (AWS, Azure, GCP), Kubernetes-based microservices, and the ability to contribute to resilience-focused design and engineering practices.

Job Duties and Responsibilities

Reliability & Resilience Engineering

• Design and implement resilience strategies across AWS, Azure, and GCP environments.
• Support chaos engineering initiatives and integrate experiments into CI/CD pipelines.
• Validate RTO, RPO, SLO, and recovery objectives using metrics.
• Follow governance controls for chaos experiments.
• Identify and mitigate potential failure scenarios before production.

Distributed Systems & Platform Engineering

• Improve resilience across databases, caching, messaging, and auth services.
• Support multi-region and cross-cloud failover validation.
• Validate retry logic, circuit breakers, and graceful degradation.
• Reduce cascading failures and improve system stability.

Observability & Continuous Validation

• Use Grafana, Prometheus, and LogDNA for validation.
• Integrate reliability checks into Jenkins CI/CD pipelines.
• Ensure production readiness before releases.
• Use telemetry to identify improvement areas.

Collaboration & Engineering Excellence

• Work with SRE, platform, and dev teams to improve resilience.
• Contribute to best practices and documentation.
• Participate in incident analysis and improvements.

Skills You Must Have

Professional Experience

• 6–9 years of software engineering experience.
• Experience with distributed systems and microservices.
• Exposure to AWS, Azure, and GCP.
• Hands-on Kubernetes experience (EKS, AKS, GKE).

Technical Skills

• Strong Java and Spring Boot skills.
• Understanding of distributed system failures and resilience patterns.
• Exposure to chaos tools (Chaos Mesh, Gremlin, Harness, etc.).
• Knowledge of AWS, Azure, GCP services.
• CI/CD experience (Jenkins preferred).
• Understanding of SLOs/SLIs.
• Experience with Grafana, Prometheus, LogDNA.

Skills That Are Nice to Have

• Exposure to multi-region architecture.
• Service mesh familiarity.
• Performance testing exposure.
• Security tools like Snyk.
• Good communication skills.

What Success Looks Like in This Role

• Reliability checks integrated into CI/CD.
• Chaos testing improves resilience.
• Failures detected early.
• Improved system stability.
• Contribution to resilience-first culture.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

An overview of this role

As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.

Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.

Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.

What you'll do

• Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.
• Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
• Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.
• Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.
• Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.
• Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.
• Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.
• Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.
• Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.

What you'll bring

• A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.
• Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.
• AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design.Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost.
• Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when.
• AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns.
• Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?"Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential.
• Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs.
• End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently.
• Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes.

Preferred Qualifications

• Experience with GitLab platform and CI/CD workflows
• Background in consulting, solutions engineering, or customer-facing technical roles
• Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking
• Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development
• Previous startup or high-growth company experience
• Experience mentoring or leading technical projects with junior engineers

About the team

You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers.

We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.

Role 

We are looking for a seasoned Principal Software Development Engineer to join our team. This is a Hybrid Bangalore role, reporting to the Senior Director, Engineering in the Identity Access & Management department. You will help manage digital risk by applying security through identity integration and controls. As a key member of the team, you will build workflows and application integrations in coordination with the larger IAM team, Product Management, and Business teams.

What you’ll do (Role Expectations)

• Designing and development of enterprise-grade Identity Management Products for Zscaler
• Participating in the design and implementation of core product functionality and key technical initiatives
• Mentoring junior engineers with best practices
• Collaborating across teams to deliver projects from inception to production
• Collaborating with team members to maintain a positive working culture

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 14+ years of hands-on experience in Java-based application architecture and development, with expertise in creating enterprise-grade Security or Networking products
• Strong expertise in Identity and Access Management protocols, including SAML, OAuth, and OpenID Connect
• Expert-level proficiency in Enterprise Java, OOP, OOA, systems architecture, RESTful APIs, related frameworks like Hibernate and Spring, and CI/CD tools and processes

What Will Make You Stand Out (Preferred Qualifications)

• Knowledge regarding Docker/Kubernetes and container infrastructure
• Experience with Java reactive programming

#LI-Hybrid #LI-VV3

Job summary

As an Application Security Engineer within our cybersecurity team, you will help safeguard the company’s web applications and services by supporting the integration of security practices into the Software Development Life Cycle (SDLC). You will collaborate with development, DevOps, and security teams to identify, assess, and remediate vulnerabilities, contribute to secure coding practices, and assist in implementing DevSecOps tooling and processes. This role is ideal for someone with a strong technical foundation who is eager to grow within the product/application security space.

What you will do

• Support the integration of security controls and best practices across various phases of the SDLC.
• Assist in security assessments, including static and dynamic code analysis, open-source dependency analysis, and limited penetration testing.
• Participate in manual and automated code reviews to identify potential vulnerabilities and coding flaws.
• Collaborate with software engineers to promote secure development practices, including the use of security testing tools in CI/CD pipelines.
• Contribute to the evaluation, deployment, and tuning of DevSecOps tools such as SAST, DAST, and SCA platforms.
• Help maintain secure deployment workflows and support security automation efforts.
• Participate in cross-functional security reviews of new features and systems with guidance from senior engineers.
• Stay up to date on current security threats, vulnerabilities, and best practices in application security.
• Assist with triaging vulnerabilities from internal scans, bug bounty submissions, or external assessments.
• Document processes and playbooks to support consistent and scalable security practices.
• Provide input to the development of internal security standards and reference architectures.
• Support remediation efforts in collaboration with engineering teams.
• Participate in promoting a security-first culture across the organization.
• Other duties and responsibilities as assigned.

What you will have

• Bachelor’s degree in computer science, cybersecurity, or a related technical field.
• 2+ years of experience in cybersecurity, software engineering, or DevOps, with at least 1+ years focused on application or product security.
• Experience with programming/scripting languages such as Python, JavaScript, or Java.
• Familiarity with DevSecOps tools (SAST, DAST, SCA) and secure SDLC methodologies. - nice to have if they have a solid understanding of common web application vulnerabilities (e.g., OWASP Top 10, CWE).
• Solid understanding of common web application vulnerabilities (e.g., OWASP Top 10, CWE) and remediation strategies.
• Ability to analyze code and spot security issues with guidance.
• Strong communication and collaboration skills.
• Strong attention to detail and willingness to learn new technologies.

Nice to have

• Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
• Familiarity with security standards and frameworks such as NIST, OWASP SAMM, ISO 27001, or PCI DSS.
• Experience working in a regulated environment (e.g., financial services, healthcare, or government).
• Professional certifications such as Security+, CEH, eJPT, or equivalent (OSCP or similar preferred but not required).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience contributing to or managing a bug bounty triage process.

Benefits

• Generous time off policies
• Top shelf benefits
• Education, wellness and lifestyle support

#LI-SS1

Overview

As a Cloud Security Engineer, you will be the primary architect and guardian of our digital infrastructure, blending deep technical engineering with proactive risk management. You will design and deploy secure, scalable environments by integrating security directly into the DevSecOps lifecycle, ensuring that every layer of the stack—from network perimeters and identity management to container runtimes—is resilient by design. By leveraging automation and observability tools, you will maintain a continuous defense-in-depth strategy, overseeing threat detection, incident response, and compliance frameworks. Ultimately, this role bridges the gap between development and operations, spearheading cloud governance and disaster recovery efforts to guarantee long-term operational stability and a hardened security posture.

What You'll Do

• Lead Platform & Infrastructure Development by architecting scalable, resilient systems using Infrastructure as Code (IaC).
• Design and implement Secure Infrastructure across cloud environments, ensuring a "security-by-default" architecture.
• Manage Cloud Resources and DNS Operations, including zone management, records, and global resolution strategies.
• Optimize performance and defense by deploying and managing WAF, CDN, and Network Firewalls (IDS/IPS).
• Drive CI/CD Automation by integrating security gates, SAST/DAST scanning, and automated Secret Rotation into development pipelines.
• Enforce robust Identity and Access Management (IAM) protocols and oversee VPN & Certificate Management.
• Advance Security Operations by implementing and managing SIEM, SOAR, and XDR platforms for rapid threat detection and response.
• Maintain Cloud Security Posture Management (CSPM) and Infrastructure Observability to proactively identify and remediate misconfigurations.
• Secure containerized workloads by establishing strict Docker & Runtime Security standards.
• Own Compliance and Governance, specifically meeting SOC2 Compliance Requirements and maintaining all necessary technical controls.

Who You Are

• Bachelor Degree in Computer Science or related field 
• 15+ years of experience in information technology security
• Experience as a hands on technology leader in a highly technical environment
• Must be willing to work outside normal business hours as needed
• Hands-on, in-depth experience with Azure (required); familiarity with GCP or AWS is a plus.
• Deep expertise in a specific Infrastructure as Code (IaC) tool such as Terraform and Terragrunt.
• Experience with container orchestration security, including Kubernetes, service mesh, and serverless architectures.
• Hands-on experience with Cloudflare (WAF, CDN, DNS, Zero Trust) — required; experience with other CDN/edge security platforms is a plus.
• Expert understanding of application, network, operating system, and core infrastructure security concepts and concerns
• Working knowledge of common information technology management frameworks and regulations such as ISO 27001/2, NIST, SOC2, GDPR, DORA, etc. - Nice to Have
• CISSP, CISA or SANS GIAC certification - preferred
• Experience with at least one object-oriented programming language; Python preferred.
• Experience with at least one query language such as Kusto Query Language (KQL) or similar.

Summary

We are seeking a highly motivated and experienced Site Reliability Engineer (SRE) with 7 to 12 years of experience to manage, scale, and ensure the high availability of our core infrastructure. This role involves deep expertise in cloud services, automation, monitoring, and complex networking to support a high-volume, mission-critical environment.

Key Responsibilities

• Cloud & Infrastructure: Configure, maintain, and manage services and packages on Ubuntu Virtual Machines in Azure. Design and manage Azure components for log storage, management, alerting, and monitoring.
• Networking & Connectivity: Configure and maintain complex network components including Azure Firewall, Route Tables, Virtual Network Gateways, and Express Route. Establish and manage IPsec and Express Route connectivity with external environments. Manage routing, troubleshooting connectivity issues, and support network component migrations with minimal downtime.
• Automation & IaC: Drive automation for all BAU tasks using Terraform, Saltstack, Ansible, and scripting languages. Write new Terraform code for infrastructure components.
• Database & Data Management: Set up and manage high-availability services like Mysql and Aerospike. Implement database replication across regions, manage migrations, and ensure data sync. Handle backups of databases, logs, and configurations.
• Monitoring & Observability: Implement and manage monitoring (e.g., Prometheus, Victoria Metrics, Riemann) and centralized logging (Loki) solutions, with visualization on Grafana. Troubleshoot performance and system issues at the OS, platform, or application level.
• Security & Compliance: Manage firewalls and integrate platform and VM-level services with the SOC. Collaborate with Infosec teams to evaluate and fix security vulnerabilities.
• Capacity & Performance: Conduct proactive capacity planning. Manage critical infrastructure components like Nginx, HA Proxy, Docker, and RMQ.
• Incident Management & DR: Participate in an on-call rotation. Structure and lead incident response, Root Cause Analysis (RCA), and post-mortem creation. Set up and support planning and execution of DR sites and failovers.

Required Technical Expertise

• Cloud Platform (Microsoft Azure):
• Core Services: Deep, hands-on experience with Microsoft Azure components, including Virtual Machines (Ubuntu/Linux), Azure Storage Accounts, CosmosDB, and Azure Data Explorer (ADX).
• Networking: Expert-level knowledge in configuring and managing complex Azure networking components: Azure Firewall, Azure Route Tables, Virtual Network Gateways, Azure Express Route, and Azure Private DNS. Must be proficient in setting up and troubleshooting routing using protocols like BGP with on-prem DCs and managing network component migrations with minimal downtime.
• Security/Compliance: Experience integrating platform and VM-level services with the Security Operations Center (SOC) and collaborating with Infosec teams on vulnerability evaluation and remediation.
• Operating Systems & Scripting:
• OS: Expert proficiency in Linux environments, specifically Ubuntu/Linux, for system administration, service configuration, and performance troubleshooting at the OS level.
• High-Level Language: Deep expertise in at least one high-level language (Python, Go, or Java) for writing automation, services, and tooling.
• Shell Scripting: Shell scripting (Bash) mastery is essential for day-to-day operational tasks and automation.
• Monitoring, Observability & Logging:
• Monitoring: Extensive experience implementing and maintaining modern monitoring systems such as Prometheus, Victoria Metrics, and Riemann.
• Logging: Proficiency with centralized log management using Loki for log ingestion, enrichment, lifecycle management, and providing a search/view platform.
• Visualization: Expertise in creating and managing dashboards for visualization and alerting using Grafana.
• Configuration Management & IaC (Infrastructure as Code):
• IaC: Mastery of Terraform for writing new component configurations and building automation for BAU (Business As Usual) tasks.
• Configuration Management: Strong experience with configuration management tools like Saltstack (or Ansible) for automated deployment and configuration of services on VMs.
• Databases & Data Stores:
• High-Availability Data Stores: Hands-on experience setting up, managing, and scaling high-availability databases like Mysql and Aerospike.
• Time-Series/Search: Familiarity with Elastic Search and time-series databases like InfluxDB.
• Replication/DR: Expertise in database replication between different regions, managing database migrations, setting up circular replication, and ensuring data sync during system and network issues.
• Core Infrastructure Services:
• Web/Proxy: Expert management of critical infrastructure components like Nginx and HA Proxy, including proxy management, endpoint addition, header configuration, and writing rewrite rules.
• Messaging/Container: Experience with messaging queues like RMQ (RabbitMQ) and containerization technology like Docker.
• Networking Services: Deep knowledge of DNS and other core network protocols.

Essential Soft Skills & Qualifications

• Ownership and Accountability: A proactive approach to identifying and solving infrastructure challenges before they impact service availability.
• Communication: Excellent written and verbal skills for documenting procedures, creating runbooks, and communicating with technical and non-technical stakeholders.
• Mentorship: (For senior roles) Ability to mentor junior engineers and promote SRE best practices across the organization.
• SLO/SLA Management: Experience defining, monitoring, and meeting Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for critical services.
• Toil Reduction: A commitment to measuring and actively reducing operational toil through automation (e.g., using SRE's Toil Reduction framework).
• Cost Optimization: Experience identifying and implementing cloud resource optimization and cost-saving measures within the Azure environment.

Job Description:
Are you passionate about maintaining the reliability and performance of one of worlds largest fintech infrastructure? We are seeking a skilled SRE - System Engineer to join our dynamic team. The ideal candidate will have a solid foundation in Linux/Unix administration and networking, along with a keen understanding of open source technologies, tools, and cloud services. Join us to ensure our services remain always-up and always-available.

Key Requirement:
● Proficiency in Linux/Unix administration, coupled with extensive experience in the field.
● Computer networking proficiency and working knowledge.
● Utilize a wide variety of open source technologies and tools, with a strong emphasis on cloud
services.
● Implement best practices and IT operations to maintain an always-up, always-available service.
● Participate actively in the on-call rotation schedule.
● Communicate effectively in English.
● Display a strong background in Linux networking, including the use of IP, iptables, and IPsec.
● Work with MySQL databases effectively. Working experience in Mariadb,Percona will be a plus.
● Understand and apply coding and scripting skills, with a preference for Perl, python or Golang.
● Experience with automation and configuration management, using tools like SaltStack.
● Hands-on experience with private cloud environments.

Desirable Skills:
● Experience with implementing cloud services on Linux using KVM/QEMU.
● Familiarity with container orchestration technology.
● Knowledge of NoSQL databases, especially Aerospike.
● Proficiency in Perl and Golang.
● Understanding of Galera cluster operations.
● Experience with data center related activities.

SRE - Service Delivery

Team:
The SRE - System Delivery team at PhonePe is a cross-functional, centralized, and horizontal team. We collaborate with other SRE teams to build various infrastructure services and carry out routine production management activities, including infrastructure scaling, database maintenance, and operating system vulnerability rollouts etc.

Job Overview:

As an SRESD Engineer, you will be part of a team responsible for building, managing, and scaling the production systems of PhonePe to ensure uninterrupted services to users across the country. You will primarily work on well-defined tasks under supervision and by following predefined SOPs.

Responsibilities and Duties:

• Build & manage various distributed systems such as Galera, Nginx, Aerospike, ElasticSearch and RMQ.
• Deploy operating system vulnerability fixes to production systems.
• Perform routine database maintenance activities.
• Build and roll out proxy configurations to production systems.
• Understand the criticality of production infrastructure.
• Be willing to work 24/7 shifts and provide on-call support across the SRE Organisation.

Core Technical Skills Required:

Minimum Qualifications

• Linux CLI Tools for System Administration - Proficiency in using command-line tools for managing Linux systems
• Disk & LVM Management - Hands-on experience with disk management and Logical Volume Manager (LVM)
• System Services - Understanding of managing and configuring system services
• Package Management - Understanding of package management tools and processes
• File Permissions - Understanding of Linux file permission systems
• Crontab & Scheduling - Understanding of cron jobs for task scheduling
• DNS Concepts - Understanding of DNS and its configuration
• Using Salt/Ansible for IaC - Understanding of Infrastructure as Code (IaC) using Salt or Ansible
• Database Concepts & Administration - Understanding of Shards, Partitions and Truncations
• Bash / Python Scripting - Proficiency in writing and debugging Bash / Python Scripts

Knowledge of the following will be a plus

• MariaDB or similar Distributed Database Systems
• Docker or similar Containerization technology
• Nginx or similar Proxy technology
• GIT
• Basic Networking Concepts
• Linux-based Firewall
• Basic understanding of HTTP & TLS Security
• Ability to write Python based scripts for various automations

Softskills:

• Good Interpersonal Communication Skills
• Ability to understand & follow SOPs

Qualifications:

• Minimum of 1-3 years of hands-on experience in Linux / Unix System Administration.

Work Location: Bangalore

Note: This role requires the candidate to be available for on-call shifts on a rotational

basis, covering 24 hours a day, 7 days a week.

SRETools - Software Developer 5-7yrs

About PhonePe : Our goal is to make digital payments so easy, safe and universally accepted that people never feel the need to carry cash or cards again. We believe India is at the cusp of a new mobile revolution, which will change the way we manage our money on the go. We see ourselves facilitating this change, through technology and dogged customer centricity.,At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one.Being enthusiastic about tech is a big part of being at PhonePe.,If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!

Objectives of this Role

• Acquire product requirements and designing an optimal solution, by working with stakeholders across domains
• Develop and maintain in-house cloud architecture components, including components that deal with procurement, provisioning, patching, migration and retirement of instances
• Own the implemented solutions end-to-end, right from inception to deployment and monitoring to regular upkeep
• Identify infrastructure wide, company wide problems and provide a scalable solution
• Measure and increase compliance of solutions 
• Bring a DevOps mindset to implementations 

Skills and Qualifications

• 5+ years experience in IT
• Experience with or knowledge of operating systems; current technologies
• Proficient in at least two of these languages: Python/Go/Rust/C. 
• Good in networking fundamentals/systems knowledge, exposure to open source technologies 
• Good in data structures/algorithms
• Awareness of cloud technologies, Mesos, KVM/QEMU, NodeJS/React will be good to have

Job Description: 
Are you passionate about maintaining the reliability and performance of one of worlds largest fintech infrastructure? We are seeking a skilled SRE - System Engineer to join our dynamic team. The ideal candidate will have a solid foundation in Linux/Unix administration and networking, along with a keen understanding of open source technologies, tools, and cloud services. Join us to ensure our services remain always-up and always-available. 

Key Requirement: 
● Proficiency in Linux/Unix administration, coupled with extensive experience in the field. 
● Computer networking proficiency and working knowledge.  
● Utilize a wide variety of open source technologies and tools, with a strong emphasis on cloud services. 
● Implement best practices and IT operations to maintain an always-up, always-available service. 
● Participate actively in the on-call rotation schedule. 
● Communicate effectively in English. 
● Display a strong background in Linux networking, including the use of IP, iptables, and IPsec. 
● Work with MySQL databases effectively. Working experience in Mariadb,Percona will be a plus.  
● Understand and apply coding and scripting skills, with a preference for Perl, python or Golang. 
● Experience with automation and configuration management, using tools like SaltStack. 
● Hands-on experience with private cloud environments. 

Desirable Skills: 
● Experience with implementing cloud services on Linux using KVM/QEMU. 
● Familiarity with container orchestration technology.  
● Knowledge of NoSQL databases, especially Aerospike. 
● Proficiency in Perl and Golang. 
● Understanding of Galera cluster operations. 
● Experience with data center related activities.

About the Role:

This role is responsible for managing and maintaining complex, distributed big data ecosystems. It ensures the reliability, scalability, and security of large-scale production infrastructure. Key responsibilities include automating processes, optimizing workflows, troubleshooting production issues, and driving system improvements across multiple business verticals.

Roles and Responsibilities:

• Manage, maintain, and support incremental changes to Linux/Unix environments.
• Lead on-call rotations and incident responses, conducting root cause analysis and driving postmortem processes.
• Design and implement automation systems for managing big data infrastructure, including provisioning, scaling, upgrades, and patching clusters.
• Troubleshoot and resolve complex production issues while identifying root causes and implementing mitigating strategies.
• Design and review scalable and reliable system architectures.
• Collaborate with teams to optimize overall system performance.
• Enforce security standards across systems and infrastructure.
• Set technical direction, drive standardization, and operate independently.
• Ensure availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning.
• Resolve, analyze, and respond to system outages and disruptions and implement measures to prevent similar incidents from recurring.
• Develop tools and scripts to automate operational processes, reducing manual workload, increasing efficiency and improving system resilience.
• Monitor and optimize system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning.
• Collaborate with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle.
• Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities.
• Develop and enforce SRE best practices and principles.
• Align across functional teams on priorities and deliverables.
• Drive automation to enhance operational efficiency.

Skills Required:

• Over 7 years of experience managing and maintaining distributed big data ecosystems.
• Strong expertise in Linux including IP, Iptables, and IPsec.
• Proficiency in scripting/programming with languages like Perl, Golang, or Python.
• Hands-on experience with the Hadoop stack (HDFS, HBase, Airflow, YARN, Ranger, Kafka, Pinot).
• Familiarity with open-source configuration management and deployment tools such as Puppet, Salt, Chef, or Ansible.
• Solid understanding of networking, open-source technologies, and related tools.
• Excellent communication and collaboration skills.
• DevOps tools: Saltstack, Ansible, docker, Git.
• SRE Logging and monitoring tools: ELK stack, Grafana, Prometheus, opentsdb, Open Telemetry.

Good to Have:

• Experience managing infrastructure on public cloud platforms (AWS, Azure, GCP).
• Experience in designing and reviewing system architectures for scalability and reliability.
• Experience with observability tools to visualize and alert on system performance.

Summary

We are seeking a highly motivated and experienced Site Reliability Engineer (SRE) to manage, scale, and ensure the high availability of our core infrastructure. This role involves deep expertise in cloud services, automation, monitoring, and complex networking to support a high-volume, mission-critical environment.

Key Responsibilities

• Cloud & Infrastructure: Configure, maintain, and manage services and packages on Ubuntu Virtual Machines in Azure. Design and manage Azure components for log storage, management, alerting, and monitoring.
• Networking & Connectivity: Configure and maintain complex network components including Azure Firewall, Route Tables, Virtual Network Gateways, and Express Route. Establish and manage IPsec and Express Route connectivity with external environments. Manage routing, troubleshooting connectivity issues, and support network component migrations with minimal downtime.
• Automation & IaC: Drive automation for all BAU tasks using Terraform, Saltstack, Ansible, and scripting languages. Write new Terraform code for infrastructure components.
• Database & Data Management: Set up and manage high-availability services like Mysql and Aerospike. Implement database replication across regions, manage migrations, and ensure data sync. Handle backups of databases, logs, and configurations.
• Monitoring & Observability: Implement and manage monitoring (e.g., Prometheus, Victoria Metrics, Riemann) and centralized logging (Loki) solutions, with visualization on Grafana. Troubleshoot performance and system issues at the OS, platform, or application level.
• Security & Compliance: Manage firewalls and integrate platform and VM-level services with the SOC. Collaborate with Infosec teams to evaluate and fix security vulnerabilities.
• Capacity & Performance: Conduct proactive capacity planning. Manage critical infrastructure components like Nginx, HA Proxy, Docker, and RMQ.
• Incident Management & DR: Participate in an on-call rotation. Structure and lead incident response, Root Cause Analysis (RCA), and post-mortem creation. Set up and support planning and execution of DR sites and failovers.

Required Technical Expertise

• Cloud Platform (Microsoft Azure):
• Core Services: Deep, hands-on experience with Microsoft Azure components, including Virtual Machines (Ubuntu/Linux), Azure Storage Accounts, CosmosDB, and Azure Data Explorer (ADX).
• Networking: Expert-level knowledge in configuring and managing complex Azure networking components: Azure Firewall, Azure Route Tables, Virtual Network Gateways, Azure Express Route, and Azure Private DNS. Must be proficient in setting up and troubleshooting routing using protocols like BGP with on-prem DCs and managing network component migrations with minimal downtime.
• Security/Compliance: Experience integrating platform and VM-level services with the Security Operations Center (SOC) and collaborating with Infosec teams on vulnerability evaluation and remediation.
• Operating Systems & Scripting:
• OS: Expert proficiency in Linux environments, specifically Ubuntu/Linux, for system administration, service configuration, and performance troubleshooting at the OS level.
• High-Level Language: Deep expertise in at least one high-level language (Python, Go, or Java) for writing automation, services, and tooling.
• Shell Scripting: Shell scripting (Bash) mastery is essential for day-to-day operational tasks and automation.
• Monitoring, Observability & Logging:
• Monitoring: Extensive experience implementing and maintaining modern monitoring systems such as Prometheus, Victoria Metrics, and Riemann.
• Logging: Proficiency with centralized log management using Loki for log ingestion, enrichment, lifecycle management, and providing a search/view platform.
• Visualization: Expertise in creating and managing dashboards for visualization and alerting using Grafana.
• Configuration Management & IaC (Infrastructure as Code):
• IaC: Mastery of Terraform for writing new component configurations and building automation for BAU (Business As Usual) tasks.
• Configuration Management: Strong experience with configuration management tools like Saltstack (or Ansible) for automated deployment and configuration of services on VMs.
• Databases & Data Stores:
• High-Availability Data Stores: Hands-on experience setting up, managing, and scaling high-availability databases like Mysql and Aerospike.
• Time-Series/Search: Familiarity with Elastic Search and time-series databases like InfluxDB.
• Replication/DR: Expertise in database replication between different regions, managing database migrations, setting up circular replication, and ensuring data sync during system and network issues.
• Core Infrastructure Services:
• Web/Proxy: Expert management of critical infrastructure components like Nginx and HA Proxy, including proxy management, endpoint addition, header configuration, and writing rewrite rules.
• Messaging/Container: Experience with messaging queues like RMQ (RabbitMQ) and containerization technology like Docker.
• Networking Services: Deep knowledge of DNS and other core network protocols.

Essential Soft Skills & Qualifications

• Ownership and Accountability: A proactive approach to identifying and solving infrastructure challenges before they impact service availability.
• Communication: Excellent written and verbal skills for documenting procedures, creating runbooks, and communicating with technical and non-technical stakeholders.
• Mentorship: (For senior roles) Ability to mentor junior engineers and promote SRE best practices across the organization.
• SLO/SLA Management: Experience defining, monitoring, and meeting Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for critical services.
• Toil Reduction: A commitment to measuring and actively reducing operational toil through automation (e.g., using SRE's Toil Reduction framework).
• Cost Optimization: Experience identifying and implementing cloud resource optimization and cost-saving measures within the Azure environment.

Roles and Responsibilities

• Troubleshoot issues across the entire stack - hardware, software, application, and network
• Work to improve the reliability and performance of the next generation of distributed systems and containerized deployments
• Diagnose and troubleshoot complex distributed systems handling millions of queries per second
• Day-to-day work is heavily command-line driven, which requires a strong understanding of Linux.
• Participate in on call rotation Design build and maintain core infrastructure that enables Phonepe scaling to support hundreds of thousands of concurrent users
• Actively take part in the Analysis and System improvement plan.
• Drive performance testing, capacity planning and high availability practices.
• Own implementations of new technologies while ensuring proper testing and documentation.
• Proactively monitor/identify/solve issues which could have a potential impact to our Infrastructure.
• Natural team player and also have a resourceful attitude.
• Buddy new team members, and get them production ready.

Skills Required

• Minimum of 7-13 years of strong hands-on experience in Linux / Unix System Administration, including TCP/IP, DNS, and load balancers.
• Expertise in managing and scaling proxy infrastructure, including configuring and optimizing
  proxies (e.g. Nginx, HAProxy). 
• Knowledge in Database technologies, specifically in MySQL/NoSQL. Good to have exposure on Aerospike NoSQL.
• In-depth knowledge in Python to automate tasks with minimal intervention.
• Knowledge of Linux cloud services using kvm/qemu/lvm.

About the Team

The Product Trust team at Postman is responsible for building and maintaining highly secure, scalable, and reliable platform services that safeguard our users and their data. These services form the foundation of customer trust—from authentication and access controls to secret scanning, auditing, and compliance.

We work across the stack and across teams, partnering closely with infrastructure, product, and security to deliver solutions that protect our global user base.

The Opportunity

We are looking for an exceptional Senior Engineer who will lead the development of next-generation systems within the Product Trust domain. This role is ideal for someone who thrives in building critical platform components, enjoys solving complex infrastructure challenges, and has a deep appreciation for both security and user experience.

You will play a key role in shaping the technical roadmap, owning delivery end-to-end, and mentoring other engineers as we build resilient systems at scale.

What You’ll Do

• Design, build, and maintain tier 0 systems that are secure, scalable, and highly available.
• Take ownership of backend infrastructure that powers core trust and security features at Postman.
• Work with your manager and senior team members to evolve the technical roadmap for the Product Trust team and guide architectural decisions.
• Contribute to product design by bringing in a security and trust lens to every feature we ship.
• Lead engineering best practices in code quality, observability, incident response, and system reliability.
• Mentor engineers within the team and support hiring, onboarding, and planning efforts.

About You

• 5+ years of experience in backend or full-stack engineering roles, ideally in platform or security-focused domains.
• Expertise with Node.js, TypeScript/JavaScript, and web frameworks (e.g., React) along with solid web fundamentals.
• Strong understanding of distributed systems, databases (SQL/NoSQL), web services, and backend architecture.
• Passion for building products that are secure by design and delightfully simple for users.
• Demonstrated experience driving projects from ideation to production.
• Strong system design, problem-solving, and debugging skills.
• A collaborative mindset and the ability to work effectively across team boundaries.
• Experience with mentoring engineers or leading small teams is a strong plus.

Why Join Us?

• Help shape the future of trust and security for millions of developers globally.
• Lead initiatives that directly impact product integrity, reliability, and compliance.
• Collaborate with world-class engineers in a high-growth, product-driven environment.
• Join a company that values curiosity, transparency, ownership, and winning together.

Title: DevOps Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Responsibilities:

Infrastructure Development & Integration

• Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
• Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
• Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
• Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
• Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.

System Optimization & Reliability

• Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
• Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
• Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
• Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
• Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.

Compliance & Security

• Support audit trails and compliance reporting through automated DevSecOps practices.
• Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.

Collaboration & Agile Practices

• Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
• Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
• Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.

Innovation & Technical Expertise

• Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
• Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
• Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
• Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
• Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
• Experience deploying AI agents and orchestrating agent workflows in production environments.

Technical Proficiency

• Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
• Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
• Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
• Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.

Professional Skills

• Strong problem-solving skills with a focus on reliability, scalability, and security.
• Excellent collaboration and communication skills across cross-functional teams.
• Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

About Netradyne:

Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.

Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore. For more details visit: www.netradyne.com

Job Overview:

As a Staff Data Engineer – ML at Netradyne, an award-winning industry leader in fleet safety and video telematics solutions, you will take senior technical ownership of the machine learning and data platforms that underpin our AI-powered fleet analytics. This role is responsible for designing, building, and scaling production-grade ML pipelines, generative AI capabilities, and real-time data streaming systems across cloud and edge environments, delivering actionable insights that make fleet operations safer and more efficient. You will collaborate closely with machine learning engineers, data scientists, and product teams to integrate advanced AI technologies into Netradyne's platform, including on-device edge intelligence and natural-language-driven capabilities. Your work will directly shape the data infrastructure behind Netradyne's Physical AI vision, where AI continuously interprets multimodal vehicle data to understand drivers, vehicles, and road environments as an integrated system.

Key Responsibilities:

• You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions. You will:
• Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
• Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
• Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
• Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.
• Build and scale agentic AI systems by developing autonomous and semi-autonomous agents that orchestrate data retrieval, reasoning, and actions across ML pipelines and services, ensuring these agentic workflows are production-grade, observable, and aligned with safety, reliability, and governance requirements.
• Implement MLOps best practices including CI/CD pipelines for model training, automated testing, model versioning, continuous monitoring, and modern workflow orchestration (e.g. Apache Airflow, MLFlow) to achieve reliable, reproducible model deployments at scale.
• Champion data quality and governance by implementing data contracts, rigorous validation, and monitoring to ensure that analytical pipelines meet defined SLAs and that downstream models and business users can trust the data.
• Conduct research and stay current with the latest advancements in generative AI, vector search techniques, LLM frameworks, orchestration platforms, and related technologies.

Mandatory Skills:

• Experience with data visualisation and BI tools (e.g. Tableau, Grafana, Plotly Dash).
• Exposure to real-time data streaming and messaging systems (e.g. Apache Kafka, Amazon Kinesis, Amazon SQS).
• Knowledge of containerisation and orchestration (e.g. Docker, Kubernetes/EKS)
• Strong understanding of generative AI system design, including prompt engineering, RAG architectures, vector search, and evaluation techniques for LLM-based applications in production environments.
• Experience with agentic AI patterns, such as designing, orchestrating, and monitoring autonomous or semi-autonomous agents that coordinate tools, data sources, and ML services with appropriate safety, observability, and governance controls.
• Experience with modern workflow orchestration platforms such as Apache Airflow, Prefect, or Dagster for scheduling and managing complex ETL/ML pipelines. These tools are now standard for data pipeline engineering.
• Proficiency with at least one Python web framework (e.g. FastAPI, Django, Flask) for developing data or model-serving APIs.
• Experience with rapid prototyping tools (e.g. Streamlit, Gradio, Dash) for demonstrating ML solutions to stakeholders.
• Familiarity with modern ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face Transformers
• Background in large-scale data processing and lakehouse or data warehousing technologies (e.g. Snowflake, Amazon Redshift, Apache Spark/EMR, Delta Lake).

Qualifications and Education Requirements:

• B.Tech, M.Tech or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field (or equivalent professional experience).
• 5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.
• Strong programming skills in Python and SQL, with solid fundamentals in algorithms, data structures, and object-oriented programming.
• Experience building end-to-end solutions on AWS cloud infrastructure including developing data pipelines (ETL/ELT), deploying ML models at scale, and utilising cloud services (e.g. S3, Lambda, EKS).
• In-depth understanding of data storage systems: proficient with relational databases (SQL), NoSQL datastores, and modern vector databases, including schema design and query optimisation for large-scale datasets.
• Hands-on experience with generative AI tools and workflows, and practical work with large language models (LLMs), including building LLM-powered applications and utilising RAG techniques to incorporate external knowledge.
• Working knowledge of MLOps principles and tools — e.g. model lifecycle management, CI/CD pipelines for ML, automated data/feature pipelines, and monitoring/alerting for deployed models.
• Strong analytical and problem-solving skills with keen attention to detail.
• Solid foundation in statistics, probability, and estimation theory.
  
  

Equal Opportunity Employer Statement:
Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.

The Community You Will Join:

• Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission.We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we’ll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts.

The Difference You Will Make:

• As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents.
• As a Senior Software Engineer in Payments Quality Solutions org, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering teams to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You will be expected to work with engineers in the US to tackle these complex challenges.
• Aligned with our company mission, Belong Anywhere, we value the importance of diversity and belonging in the workplace, and that's why we commit to not discriminating on basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

A Typical Day:

• Lead building, maintaining, and effective utilization of automated tests, collaborating closely with engineering teams to ensure robust test coverage for Payments features and releases, and actively participating in the continuous improvement of testing processes.
• Collaborate with CI/CD team to integrate automated testing into CI/CD pipelines, ensuring thorough test coverage at every stage of development.
• Demonstrate excellent troubleshooting abilities, isolate issues, and verify bug fixes. Debug issues found during testing and after release.
• Be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence
• Work closely with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles.

Your Expertise:

• BE/ B.tech in computer science/engineering or equivalent
• 6+ years of industry experience in software testing and automation 
• Demonstrable knowledge in at least two programming languages (e.g., Typescript, Java, Swift, Kotlin, Python) and strong scripting skills
• Strong hands-on experience with DSA - data structure and algorithm
• Strong knowledge of test automation methodologies, tools, and frameworks
• Strong hands-on experience with automation frameworks
• Demonstrated expertise in developing for testability, test automation frameworks
• Experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git)
• Excellent communication skills towards facilitating interactions with cross-functional teams
• Expertise developing solutions to ambiguous problems, and integrations across multiple teams with significant impact

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

As a Senior Database Engineer at Tekion, you will design, automate, and optimise database operations across our cloud-native automotive retail platform, connecting OEMs, dealerships, partners, and consumers. You’ll be working on scaling problems, laying down processes and streamlining requirements to actual executable tasks.

You’re expected to know in-depth about different storage and replication internals, trade-offs across SQL/NoSQL technologies, distributed systems fundamentals, transaction interaction and concurrency. A combination of this with strong Python fundamentals and Python scripting experience would make you a strong candidate for this role.

You should have at least 4+ years of experience. You should know about MongoDB in depth, and at least one SQL database like MySQL, MariaDB, PostgreSQL. People who want to build systems, not just manage them.

Key Responsibilities:

1. Core Database Engineering & Distributed Systems (Primary Focus):
1. Debug and prevent concurrency issues (deadlocks, lock escalation, starvation, long-running transactions) and advise teams on safe patterns (idempotency, retries, backoff, fencing tokens).
2. B-tree/LSM trade-offs, page layout, WiredTiger cache, journaling, WAL/redo/undo, checkpoints, compaction, MVCC behaviour
3. Backups (Logical vs Physical vs Snapshots based), upgradation of database systems and versions, data migration, and Disaster Recovery implementation
4. Query planner behaviour, statistics, cardinality estimation pitfalls
5. Indexing strategies and write amplification trade-offs
2. Reliability Engineering, Observability & Incident Response :
   Build and implement database reliability practices:

1. Lead incident response and postmortems; implement preventative controls and automated remediation.
2. Implement monitoring and alerting for replication lag, lock contention, buffer/cache health, slow query patterns, storage growth, and failover events.

1. Python Automation & Platform Tooling (Required):
   Develop and maintain robust Python tooling/services for:

• Automated health checks, failover verification, backup/restore validation, and consistency checks.
• Online schema change orchestration, safe rollout/rollback workflows, and guardrails in automation.
• Performance diagnostics automation (plan capture, workload fingerprinting).
• Build scalable automation that handles millions of records/events efficiently (attention to time/space complexity).

1. Data Modelling Across SQL & NoSQL:
   Guide data modelling decisions across relational and document/Key-Value stores:

• Normalisation vs denormalisation trade-offs
• Secondary index design, hot partition mitigation, and throughput planning
• TTL, archiving, and lifecycle policies
• Define governance for data correctness, durability, and operational safety in high-throughput systems

1. Collaboration, Standards & Enablement

1. Partner with application teams to design safe data access patterns, migration strategies, and operational standards.
2. Define best practices for production change management, access controls, auditing, and compliance requirements.
3. Mentor engineers and raise the bar on database engineering craftsmanship across the org.
4.  

Qualifications & Skills

Must have

• 4+ years of work experience as an engineer in a relevant role and responsibilities.
• Strong foundation in distributed systems and database fundamentals: CAP, consensus basics, replication, failure handling, and consistency.
• Deep understanding of transaction semantics, isolation levels, MVCC, locking, concurrency failure modes, storage engines and DB internals.
• Strong Python skills for building production-grade automation and diagnostics tooling.
• Hands-on experience operating and tuning production databases (MongoDB and at least one SQL system such as MySQL, PostgreSQL, MariaDB etc).
• Strong debugging and performance analysis skills; comfortable working from metrics, logs, traces, and low-level symptoms.
• Experience working with Linux and familiarity with common commands.

Nice to Have

• Experience with multi-region data architectures, global tables, and cross-region failover strategies.
• Familiarity with AWS and MongoDB Atlas.
• Understanding of Networking concepts like VPC, subnets, security groups, CIDR, peering etc.
• Experience with Kubernetes and/or self-managed database experience
• Experience building internal platforms (self-serve database ops, policy-as-code, safe migration frameworks).

What We’re Looking For

A senior engineer who:

• Thinks in trade-offs (latency vs consistency, durability vs throughput, cost vs performance), thinks deeply.
• Can reason from first principles about database behaviour under failure and load.
• Uses Python to operationalise best practices into repeatable, safe automation and can instruct others on best practices.
• Drives reliability, performance, and correctness across both SQL and NoSQL systems.
• Leads through technical clarity, ownership, and mentorship.

Opportunity:

Get Well is seeking a technically adept Senior Software Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. 

Responsibilities:

Platform Development & Integration

Design, develop, and maintain scalable microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and third-party integrations.Implement secure and efficient interfaces to external services, ensuring seamless data exchange and interoperability with healthcare systems.Collaborate with the Staff Engineer/Software Architect to architect platform components that align with enterprise goals for scalability, reliability, and performance.Utilize modern frameworks and technologies (e.g., Spring Boot, Node.js, or Python Flask/FastAPI) to build robust platform services.

System Optimization & Reliability

Optimize platform services for performance, scalability, and fault tolerance, ensuring high availability in a healthcare-critical environment.Implement monitoring, logging, and alerting mechanisms to ensure system reliability and rapid issue resolution.Participate in code reviews, debugging, and performance tuning to maintain high standards of code quality and system efficiency.

Compliance & Security

• Ensure platform services adhere to healthcare regulatory requirements (e.g., HIPAA, GDPR) by implementing secure coding practices, encryption, and access controls.
• Collaborate with governance and security teams to enforce data privacy and compliance standards across all platform services.
• Support audit trails and logging mechanisms to ensure traceability and compliance with healthcare data standards.

Collaboration & Agile Practices

• Work closely with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Contribute to agile development processes, including sprint planning, daily stand-ups, and retrospectives, to drive continuous improvement.
• Mentor junior engineers and share best practices in software development, API design, and system architecture.

Innovation & Technical Expertise

• Stay informed about emerging trends in software engineering, cloud-native architectures, and healthcare interoperability standards.
• Prototype and evaluate new tools, frameworks, or technologies to enhance platform capabilities and support AI-driven applications.
• Advocate for best practices in software design, ensuring modularity, maintainability, and scalability in platform development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 5+ years of experience in software engineering, with at least 3+ years in platform or backend development roles.
• Proven track record of designing and implementing scalable, cloud-native platforms or services.

Technical Proficiency

• Strong proficiency in at least two programming languages such as Java, Python, Go or JavaScript/TypeScript for building REST based APIs.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) and service orchestration tools.
• Experience with message queues or event-driven architectures (e.g., Kafka, RabbitMQ) is a plus.
• Good to have: Expertise in healthcare data standards such as FHIR, HL7, USCDI, or CCDA.

Professional Skills

• Strong problem-solving skills with a focus on delivering reliable and scalable services.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional teams.
• Proactive, detail-oriented, and committed to driving technical excellence in a fast-paced environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Job Title: Senior AGI Engineer – GTM Solution Delivery 

Role Overview 

As a Senior AGI Engineer you are the hands-on technical force that turns JazzX’s AGI platform into working, measurable solutions for customers. You will: 

• Build and integrate LLM-driven features, vector search pipelines, and tool-calling agents into client environments. 

• Collaborate with solution architects, product, and customer-success teams from discovery through production rollout. 

• Contribute field learnings back to the core platform, accelerating time-to-value across all deployments. 

You are as comfortable writing production-quality Python as you are debugging Helm charts, and you enjoy explaining your design decisions to both peers and client engineers. 

Key Responsibilities 

Qualifications 

Must-Have 

• 5+ years of professional software engineering experience; 2+ years working with ML or data-intensive systems. 

• Proficiency in Python (or Java/Go) with strong software-engineering fundamentals (testing, code reviews, CI/CD). 

• Hands-on experience deploying containerised services on AWS, GCP, or Azure using Kubernetes & Helm. 

• Practical knowledge of LLM / Gen-AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow) and vector databases. 

• Familiarity integrating REST/GraphQL APIs, streaming platforms (Kafka), and SQL/NoSQL stores. 

• Clear written and verbal communication skills; ability to collaborate with distributed teams. 

• Willingness to travel 10–20 % for key customer engagements. 

Nice-to-Have 

• Experience delivering RAG or agent-based AI solutions in regulated domains (finance, healthcare, telecom). 

• Cloud or Kubernetes certifications (AWS SA-Assoc/Pro, CKA, CKAD). 

• Exposure to MLOps stacks (Kubeflow, MLflow, Vertex AI) or data-engineering tooling (Airflow, dbt). 

Attributes 

• Empathy & Ownership: You listen carefully to user needs and take full ownership of delivering great experiences. 

• Startup Mentality: You move fast, learn quickly, and are comfortable wearing many hats. 

• Detail-Oriented: You care about the little things  

• Mission-Driven: You want to solve important, high-impact problems that matter to real people. 

• Team-Oriented: Low ego, collaborative, and excited to build alongside highly capable engineers, designers, and domain experts. 

Travel 

This position requires the ability to travel to client sites as needed for on-site deployments and collaboration. Travel is estimated at approximately 20–30% of the time (varying by project), and flexibility is expected to accommodate key client engagement activities. 

Title: Software Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Get Well is seeking a technically adept Staff Front End Engineer to implement scalable, secure services and processing systems within a regulated healthcare environment. This role is ideal for an early-career engineer eager to grow their skills in a dynamic, mission-driven team.

Responsibilities:

Platform Development Support

Assist in designing, developing, and testing microservices and APIs (REST and FHIR) to support AI agents, clinical applications, and external integrations.Implement platform components under the guidance of senior engineers and architects, ensuring alignment with enterprise goals for scalability and reliability.Write clean, maintainable, and efficient code using modern programming frameworks (e.g., Spring Boot, Node.js, or Python Flask/FastAPI).

System Maintenance & Optimization

• Support the maintenance and optimization of platform services to ensure performance, scalability, and reliability in a healthcare-critical environment.
• Assist in implementing monitoring, logging, and alerting mechanisms to maintain system health and support issue resolution.
• Participate in debugging and resolving technical issues under the mentorship of senior team members.

Compliance & Security

• Adhere to secure coding practices and healthcare regulatory requirements (e.g., HIPAA, GDPR) as directed by senior engineers and governance teams.
• Assist in implementing data privacy measures, such as encryption and access controls, to ensure compliance with healthcare standards.
• Support audit logging and documentation efforts to maintain traceability and compliance.

Collaboration & Agile Practices

• Collaborate with cross-functional teams, including data engineers, AI/ML engineers, and product managers, to deliver integrated solutions.
• Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, to contribute to team goals.
• Engage in code reviews to learn best practices and improve code quality under the guidance of senior engineers.

Learning & Growth

• Stay informed about software engineering trends, cloud-native technologies, and healthcare interoperability standards through training and mentorship.
• Contribute to prototyping and evaluating new tools or frameworks to enhance platform capabilities.
• Actively seek feedback and apply best practices to grow technical expertise in software development.

Requirements:

Education & Experience

• Bachelor’s or Master’s degree in Computer Science or related technical discipline
• 12+ years of experience in software development, including internships, academic projects, or entry-level roles
• Exposure to designing or implementing backend services or APIs is a plus.

Technical Proficiency

• Proficiency in developing highly responsive Front End applications using React, JavaScript/TypeScript, Express.js, Vue.js, Angular
• Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker) is a plus
• Familiarity with Low-code / no-code code generators like Replit AI, Cursor, Codeium, Copilot, ChatGPT etc.
• Familiarity with API development frameworks (e.g., Spring Boot, FastAPI, Express.js) or version control systems (e.g., Git)

 Professional Skills

• Strong problem-solving skills with a willingness to learn and tackle technical challenges.
• Good collaboration and communication skills, with the ability to work effectively in a team-oriented environment.
• Proactive, detail-oriented, and eager to grow in a fast-paced, innovative setting.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Opportunity

Get Well is hiring a highly motivated Senior Data Software Engineer to help build and scale our modern cloud-native data platform that supports AI, analytics, and clinical applications. You'll focus on developing robust and compliant data processing workflows while working closely with platform and architecture teams to operationalize next-generation, healthcare-specific data systems.

This role is ideal for an experienced engineer passionate about transforming complex healthcare data into meaningful applications through engineering excellence, collaboration, and innovation. You will play a key role in the continued growth of our data platform and help ensure that our data systems are secure, reliable, and high-performing within the healthcare industry. 

Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.

Responsibilities

Data Engineering & Pipeline Development

• Design, implement, and maintain scalable batch and real-time data pipelines across a variety of sources and formats.
• Develop high-performance ETL/ELT workflows using tools and frameworks such as Apache Spark, Databricks, dbt, and Snowflake.
• Collaborate with Staff Engineers and Architects to translate platform architecture into executable, maintainable solutions.
• Automate data orchestrations using Airflow or other workflow managers to enable continuous data processing and delivery.

Healthcare Data Integration & Compliance

• Ingest and normalize healthcare datasets (e.g., EHR, FHIR, HL7, CCDA, Claims) in accordance with internal data models.
• Work with governance and compliance teams to meet regulatory requirements including HIPAA and GDPR.
• Implement best practices for encryption, data masking, access control, and auditability across the platform.
• Support efforts around metadata management, data lineage, and structured logging for traceability and transparency.

Platform Optimization & Technical Execution

• Tune Spark-based pipelines and SQL transformations for performance, reliability, and resource efficiency.
• Participate in code reviews, unit testing, and CI/CD processes to ensure code quality and maintainability.
• Work collaboratively across product, informatics, and DevOps teams to translate business needs into technical solutions.
• Contribute to documentation, analytics enablement, and reusability of shared platform components.

Growth, Mentorship & Best Practices

• Mentor junior engineers through code reviews, paired programming, and collaborative development practices.
• Model and advocate for engineering best practices, including clean architecture, effective testing, and proactive monitoring.
• Stay current with trends in distributed systems, cloud-native computing, data privacy, and healthcare interoperability.
• Propose and implement technical upgrades and innovative approaches based on tools like Delta Lake, Apache Iceberg, and emerging GenAI capabilities.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
• 6+ years of relevant experience in data engineering roles, with at least 3 years focused on cloud-native or large-scale data systems.
• Must have software development experience in at least one healthcare company, preferably in the provider space, with exposure to EHR systems or key healthcare data domains.
• Direct experience designing and building pipelines that move and transform healthcare data, with production-quality data quality checks at scale.

Technical Skills

• Proficient in Python, SQL, and Apache Spark for distributed processing and transformation.
• Hands-on experience with modern data platforms—such as Snowflake, Databricks, Redshift, or BigQuery.
• Deep experience working with public cloud providers, particularly Azure, including native services for data storage, processing, and orchestration (e.g., Azure Data Lake, Azure Synapse).
• Experience with orchestration tools like Airflow and transformation layers such as dbt.
• Familiar with data pipelines in regulated environments, including auditing, encryption, and compliance controls.
• amiliarity with healthcare-specific data formats (FHIR, HL7, EDI) and terminologies (ICD-10, SNOMED, LOINC).

Professional Attributes

• Strong problem-solving skills with a focus on quality, performance, and pragmatism.
• Excellent communication and teamwork skills, with the ability to work across multidisciplinary teams.
• High accountability and ownership mindset with a commitment to excellence in healthcare technology.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Opportunity

Get Well is seeking a skilled and motivated Software Data Engineer to help implement and scale our cloud-native data platform supporting AI, analytics, and clinical applications. This role involves building, testing, and optimizing secure and high-performance pipelines and workflows that power critical healthcare applications.

As a Software Data Engineer, you will collaborate closely with staff and senior engineers to deliver robust data infrastructure in a regulated, compliance-driven healthcare environment. You’ll gain deep exposure to modern tools and cloud technologies while contributing meaningfully to transforming healthcare delivery through data and AI.

Responsibilities

Data Engineering & Pipeline Development

• Implement and maintain reliable batch and real-time data pipelines using modern frameworks such as Apache Spark, Databricks, and Snowflake.
• Support ingestion, transformation, and delivery of structured and semi-structured data across cloud-native platforms.
• Contribute to performance tuning and optimization efforts to ensure scalable and cost-effective workflows.
• Utilize orchestration tools like Airflow, Temporal and dbt to enable automation, scheduling, monitoring, and version control of pipeline operations.

Data Quality & Compliance

• Enforce data quality through the implementation of validation checks, data lineage tracking, and schema enforcement.
• Assist in meeting healthcare compliance standards (e.g., HIPAA, GDPR) by implementing best practices for data handling, encryption, and access controls.
• Work with metadata and data cataloging systems to ensure accuracy, transparency, and discoverability of enterprise datasets.

Technical Implementation & Collaboration

• Participate in agile development practices, including daily stand-ups, sprint planning, retrospectives, and backlog grooming.
• Support code reviews and debugging efforts to uphold code reliability, reusability, and maintainability.
• Collaborate with cross-functional teams, including Data Science, Product, Quality, and Security, to deliver coordination and alignment on technical implementations.

Learning & Growth

• Stay current on evolving technologies in cloud data engineering, including tools such as Delta Lake, Iceberg, and healthcare interoperability standards.
• Actively engage in knowledge sharing and continuous learning through team discussions, peer programming, and internal demos.
• Show initiative in exploring process improvements, automation opportunities, and platform enhancements.

Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2–5 years of hands-on experience in data engineering, platform development, or software engineering focused on data systems.
• Software development experience at a healthcare company (provider space preferred), with exposure to EHR systems or healthcare data domains is strongly preferred.

Technical Skills

• Proficiency in Python and SQL for building and maintaining data workflows.
• Experience working with distributed data frameworks like Apache Spark or Databricks.
• Familiarity with data orchestration tools such as Airflow, Temporal and data modeling tools like dbt.
• Experience with data platforms such as Azure data factory, databricks, etc.
• Exposure to cloud providers - Azure preferred.
• Exposure to healthcare data types (e.g., FHIR, HL7, CCDA) and terminologies (e.g., ICD, SNOMED) is a strong plus.

Professional Attributes

• Strong analytical and problem-solving skills with attention to performance and reliability.
• Effective communicator and team player who thrives in collaborative, cross-functional settings.
• Eagerness to learn new tools and technologies and contribute to platform evolution in a fast-paced environment.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX  is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Role 

We are looking for a Staff Software Engineer to join our Identity & Access Management team. This is a hybrid role based in Bangalore, reporting to the Sr. Director, Engineering. You will help manage digital risk by applying security through identity integration and controls. In this role, you will build workflows and application integrations as coordinated with the larger IAM team, Product Management, and Business teams.

What you’ll do (Role Expectations)

• Lead the development of identity management products for Zscaler
• Design and implement core product functionality and key technical initiatives
• Collaborate with team members to maintain a positive working culture and drive technical excellence

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 3+ years of software development experience in large-scale commercial networking applications with a degree in Engineering or Computer Science
• Deep proficiency in enterprise Java, object-oriented programming (OOP/OOA), systems architecture, and RESTful APIs
• Hands-on experience with SQL and Postgres
• Strong understanding of networking protocols, including HTTP, SSL/TLS, and TCP/IP
• Technical expertise in frameworks such as Hibernate and Spring, as well as CI/CD tools and processes

What Will Make You Stand Out (Preferred Qualifications)

• Knowledge of Identity and Access Management protocols, such as OAuth, OpenID Connect, SAML, Federation, or SSO
• Practical experience with Docker, Kubernetes, and container infrastructure

#LI-Hybrid #LI-VV3

Role

We are looking for an experienced Escalation Engineer to join our Customer Success team.  This is a hybrid role based in Bangalore, you will report to the Escalation Manager. Our Customer Success Strategy & Operations team uses valuable data and market research to help our customers succeed and drive value. You'll be an integral part of solving challenges faced by our client-facing teams to help make Zscaler more efficient in meeting our customers' needs.

What you’ll do (Role Expectations)

• Own and resolve the highest-severity technical escalations through deep analysis, ensuring fast resolution and managing the on-call rotation for critical issues

• Troubleshoot and resolve complex issues across Zscaler cloud security services, configuration, policy engines, APIs, and AI-assisted capabilities

• Investigate and resolve scenarios related to the secure use of AI models, governance of AI agents, data protection, and inference security

• Perform detailed log, telemetry, and packet-level analysis to identify the root cause, reproducing complex defects, providing engineering-ready bug reports, and validating fixes

• Drive cross-functional collaboration with Engineering, Cloud Ops, and Product Management, while also creating advanced troubleshooting documentation and acting as a technical mentor to uplift support capability

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 4–10 years of deep technical support, cloud support engineering, or escalation engineering experience

• Strong understanding of AI model security, data governance, AI agent behavior, and safe enterprise deployment principles

• Proficiency with APIs, JSON, logging frameworks, Linux CLI, debugging tools, and cloud-based distributed systems

• Exposure to cloud platforms (AWS/GCP/Azure) and identity, policy, or proxy-based architectures

• Ability to reproduce complex issues, correlate across layers (client → edge → cloud), and articulate clear RCAs

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated experience with Zscaler products (ZIA, ZPA, ZDX) or similar cloud security platforms, including knowledge of enterprise networking, TLS/SSL inspection, and authentication flows

• Familiarity with LLM-based system behavior, data leakage prevention in AI, and establishing model access policy controls

• Proficiency in scripting for automation, efficient troubleshooting, and reproducing complex customer environments

#LI-RR

#LI-Hybrid

Senior Software Engineer  -  Senior Machine Learning Platform

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 5 - 7 years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

The Sr. Application Security Engineer will play a key role in embedding security into our development and release processes. You will partner with cross-functional teams to ensure security is a foundational part of software design, development, and deployment, promoting secure coding practices, shift-left methodologies, and the secure adoption of API-driven and AI-enabled technologies.

Job Duties and Responsibilities:

Secure Development Lifecycle:
Collaborate with development teams to embed security throughout the software development lifecycle (SDLC), from design through deployment. Support the adoption of secure coding standards and best practices across teams.

CI/CD Pipeline Security:
Implement security controls within CI/CD pipelines, enabling automated security testing and vulnerability detection. Partner with release management to ensure secure deployment checks and policy compliance, including operationalizing SAST, SCA, and DAST.

Shift-Left Security:
Drive shift-left initiatives by providing guidance, tooling, and remediation support to engineers, enabling secure development from the outset.

Threat Modeling:
Lead threat modeling sessions with development teams to identify and mitigate security risks early in the design and architecture phases.

Vulnerability Management:
Analyze and validate remediation of application security findings from SAST, SCA, DAST, API testing, and manual assessments. Work with teams to prioritize fixes and ensure proper testing before release.

Application Security (SCA, SAST, DAST):
Design, implement, and maintain application security testing programs. Reduce false positives and provide clear, actionable remediation guidance to development teams.

API Security:
Partner with engineering teams to ensure secure API design and implementation. Identify and mitigate API-specific risks, including authentication and authorization issues, data exposure, rate limiting gaps, and OWASP API Top 10 vulnerabilities.

AI Security (Guardrails, MCP Security):
Support secure AI adoption by defining AI security guardrails. Address risks such as prompt injection, insecure model usage, data leakage, and Model Context Protocol (MCP) security concerns.

Security Training:
Deliver guidance on secure coding practices, application, API, and AI security threats, and remediation techniques. Provide hands-on support during code reviews.

Collaboration & Release Management:
Partner with DevOps, QA, Engineering, Product, and Release Management teams to integrate security requirements and checks throughout development and release processes.

Continuous Improvement:
Stay current on emerging application, API, and AI security threats. Continuously improve security processes, tooling, and overall application security posture.

Skills You Must Have:

• 5+ years of experience in application security or software development, including at least 2 years in a cloud-native or SaaS environment
• Hands-on experience with secure coding practices and modern application development
• Strong understanding of cloud well-architected frameworks, application development, and deployment workflows
• Experience integrating security into CI/CD and release management processes
• Passion for shift-left security, automation, and improving development quality at scale
• Self-starter with a history of driving technical initiatives and influencing architecture
• Strong communication skills with the ability to educate, collaborate, and drive risk-based consensus
• Hands-on experience with web technologies such as Java, Java Spring Boot, JavaScript, Node.js, C#, modern UI frameworks, microservices, cloud-native and serverless architectures
• Proficiency in secure coding standards and leading secure code reviews
• Strong understanding of application security vulnerabilities (OWASP Top 10) and prevention strategies
• Strong understanding of API security principles and OWASP API Top 10
• Experience with application security testing methodologies, including SAST, SCA, and DAST, integrated into CI/CD pipelines
• Experience with AI security concepts, including guardrails, prompt and output validation, data protection, and MCP security
• Experience with AWS, GCP, and/or Azure
• Experience securing containerized environments and Kubernetes
• Experience with Jenkins, ArgoCD, or similar CI/CD tools
• Hands-on experience with Burp Suite Pro for web and API testing
• Experience with modern Application Security platforms, with Wiz preferred (other AppSec tools acceptable)

Role Overview

As the Manager, Database Reliability Engineering (DBRE), you will lead a team of expert DBREs responsible for the health, performance, automation, and scalability of Tekion’s data backbone. Your focus will be on operational excellence, automation first, and continuous improvement of reliability and efficiency for our MongoDB, MySQL, and Elasticsearch clusters. You'll mentor your team, drive innovation in database automation (using Go or Python), and collaborate with product, engineering, and Cloud teams.

Key Responsibilities

• Team Leadership & Strategy: Build, mentor, and lead a high-performing Database Reliability Engineering team, fostering a culture of technical excellence, ownership, and collaboration.
• Database Operations & Reliability: Oversee the reliability, performance, availability, and scalability of MongoDB, MySQL, and Elasticsearch across multiple environments and regions.
• Automation & Engineering: Architect and drive automation for database provisioning, scaling, backups, upgrades, patching, and recovery using Go or Python. Establish standards for Infrastructure as Code and self-service database management.
• Monitoring & Incident Response: Implement and enhance automated monitoring, alerting, performance tuning, and self-healing solutions. Lead major incident response, postmortems, and continuous improvement.
• Collaboration: Partner with SRE, CloudOps, Security, and development teams to understand requirements, drive database reliability improvements, and support feature launches.
• Best Practices & Documentation: Define and enforce database reliability best practices, documentation, runbooks, and automation guides. Promote DBRE standards and knowledge sharing.
• Capacity & Cost Management: Monitor capacity, forecast growth, and work with engineering and product teams on cost-effective database scaling.
• Security & Compliance: Ensure security, compliance, and data protection in all database operations and automation solutions.

Required Qualifications

• Bachelor's or master’s in computer science, Engineering, or equivalent practical experience.
• 8+ years of experience in database engineering, DBRE, or SRE roles, with at least 3+ years in a technical/team leadership or management position.
• Deep hands-on experience managing and automating MongoDB, MySQL, and Elasticsearch (good to have).
• Strong programming skills in Go or Python for database automation and tooling.
• Proven ability to design and implement automation for database lifecycle operations, monitoring, and self-healing.
• Expertise in building, running, and scaling highly available database clusters (replication, sharding, backup/restore, performance tuning).
• Strong knowledge of database security, access controls, patching, and compliance practices.
• Excellent communication, incident leadership, and cross-functional collaboration skills.
• Track record of hiring, mentoring, and developing technical talent.
• Prior Manager experience is a must 

About Tekion 

Tekion is revolutionizing the automotive landscape through cloud-native platforms and intelligent products that power dealerships, OEMs, and partners worldwide. At Tekion, we’re passionate about building a future where technology simplifies, secures, and transforms the way vehicles are bought, sold, and serviced. Our collaborative and innovation-driven culture is fueled by a relentless commitment to security, reliability, and scalability as we accelerate our global footprint. 

Team Overview 

You will lead a high-impact Cloud Infrastructure Automation & SRE team within Cloud Engineering, focusing on building and operating secure, reliable, scalable, resilient & self-serve infrastructure platforms for all Tekion. In close partnership with our Cloud Security, Product Security, and Application teams, you’ll play a vital role in establishing and enforcing security best practices and automation-first principles across all layers of our cloud environments. 

Roles and Responsibilities 

Strategic Leadership: Lead and grow a team of talented cloud infrastructure engineers and SREs, providing technical and people leadership, mentorship, and career development. 

Infrastructure as Code: Drive the adoption and evolution of infrastructure automation (IaC) frameworks (such as Terraform, Pulumi, CRD) to enable consistent, auditable, and scalable platform management. 

Operational Excellence: Oversee the reliability, scalability, and performance of critical infrastructure services, ensuring high availability, rapid mitigation of incidents, and root cause analysis. 

Platform Enablement: Architect, build, and optimize cloud platforms (AWS/GCP/Azure), Kubernetes clusters, and CI/CD pipelines to support the needs of Tekion’s products and services. 

Security & Compliance: Partner with Cloud Security and Product Security teams to define, implement, and maintain robust security controls, policies, and monitoring across infrastructure and applications. 

Collaboration: Work cross-functionally with engineering, security, and application teams to balance operational needs, reliability, and security requirements in cloud environments. 

Incident Management: Establish, refine, and lead SRE practices for monitoring, alerting, on-call processes, incident response, and postmortems with a security-first approach. 

Automation & Tooling: Identify opportunities for automation across infrastructure, operations, and security workflows; enable self-service tooling and guardrails for developers. 

Continuous Improvement: Promote a culture of continuous learning, process optimization, and operational excellence, keeping up to date with emerging security and cloud technologies. 

Reporting & Metrics: Track and present key performance indicators (SLAs, SLOs, security posture, automation coverage, incident metrics) to stakeholders and executive leadership. 

What makes you relevant for this role? 

• Bachelor’s or master’s degree in computer science, Engineering, or related field OR equivalent practical experience. 

• 10+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles, with at least 2+ years in technical leadership or management. 

• Hands-on expertise in cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation, Ansible, etc.). 

• Deep knowledge of cloud security best practices, cloud-native IAM, network security, secrets management, and compliance (SOC2, ISO 27001, etc.). 

• Proven experience driving operational reliability with SRE methodologies: monitoring, alerting, incident response, and post-incident analysis. 

• Track record of building and developing high-performing infrastructure or SRE teams. 

• Strong background in automation, CI/CD pipeline management, and system architecture at scale. 

• Excellent communication, stakeholder management, and cross-functional collaboration skills. 

• Security Integration: Embed security best practices across the software development lifecycle (SDLC), from code commit to deployment, ensuring "security by design."
• Collaboration: Work closely with Cloud Security and Product Security teams to develop and enforce security standards, policies, and frameworks.
• Infrastructure Hardening: Implement and automate security controls across AWS/Azure/GCP resources, Kubernetes clusters, containers, and other infrastructure components.
• CI/CD Security: Integrate automated security testing, static and dynamic analysis, and vulnerability scanning into CI/CD pipelines.
• Threat Detection & Incident Response: Develop and maintain monitoring/alerting for security incidents; participate in incident triage, root cause analysis, and response efforts.
• Tooling & Automation: Build and maintain automation for compliance checks, secrets management, access controls, patching, and audit logging.
• Governance: Ensure the team’s infrastructure and deployments are compliant with industry regulations and Tekion’s internal security requirements.
• Continuous Improvement: Stay current with emerging threats, vulnerabilities, and security best practices; propose and implement relevant improvements.
• Evangelism: Foster a security-first mindset within DevOps and engineering teams through knowledge sharing, documentation, and training.

• Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• 3-7 years of experience in DevOps, Site Reliability Engineering, or Security Engineering roles.
• Solid hands-on experience with cloud infrastructure (AWS/GCP/Azure).
• Deep understanding of secure infrastructure design, identity and access management, network security, and related best practices.
• Experience securing container platforms (Docker, Kubernetes) and modern CI/CD toolchains (e.g., Jenkin, Tekton, GitHub actions, ArgoCD).
• Proficiency in at least one scripting/programming language (Python, Go, etc.) and strong automation skills.
• Practical familiarity with vulnerability management, scanning, threat modeling, and remediation workflows.
• Strong collaboration, communication, and documentation abilities.

• Opportunity to work with some of the smartest minds to solve complex security challenges at scale.
• Impactful role in shaping and securing a global, cloud-native & AI driven platform.
• Innovative, collaborative, and fast-paced culture.

About Us

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Faction, NfX, Accomplice, and other top-tier investors.

Role Overview

OpenFX processes billions of dollars in transaction volume every month across global corridors, connecting banks, liquidity providers, and third-party systems in real time. As transaction volume and geographic footprint scale, so does our threat surface. We need a SOC Engineer who can build and own a high-performance security operations function—one that detects early, responds decisively, reduces systemic risk, and scales ahead of growth. In fintech, a delayed alert is money lost and a missed signal is reputational damage. Security must be operational, measurable, and deeply integrated into how we ship and scale.

Key Responsibilities

• Build and operationalize a fintech-grade SOC function with monitoring across cloud, infrastructure, identity, endpoints, and transaction systems
• Establish detection coverage aligned to MITRE ATT&CK and fraud threat models
• Lead incident response end-to-end: containment, eradication, recovery, and post-incident reviews with clear root cause analysis
• Minimize blast radius and reduce mean time to detect (MTTD) and respond (MTTR)
• Design high-signal alerting strategy to reduce noise and improve SIEM use cases, telemetry coverage, and correlation rules
• Define and track security KPIs and KRIs including detection coverage, false positive rate, and incident severity trends
• Integrate security review into new feature launches and ensure logging, telemetry, and auditability are designed upfront
• Align security monitoring with transaction flows, reconciliation pipelines, and money movement controls
• Detect abnormal patterns in account behavior, API misuse, and privilege escalation
• Hire, mentor, and level up analysts and detection engineers; define escalation paths and on-call processes
• Ensure SOC processes support ISO 27001, PCI DSS, NIST, and regulatory requirements with defensible evidence for audits

What We're Looking For

Required

• 8 to 12+ years in cybersecurity operations
• Proven experience building or maturing a SOC in a complex environment
• Deep experience in incident response and security investigations
• Hands-on experience with SIEM platforms and detection rule engineering
• Strong knowledge of cloud security (AWS/GCP/Azure), identity systems, and SaaS telemetry
• Experience defining KPIs, dashboards, and operational metrics
• Strong leadership and team management experience
• Ability to communicate risk clearly to executives and non-technical stakeholders

Preferred

• Experience in fintech, payments, or high-transaction financial systems
• Knowledge of SOC 2, ISO 27001, NIST, CIS
• Experience with EDR, SOAR, DLP, CASB, MDM, Email Security
• Familiarity with fraud detection models and transaction risk monitoring
• Experience in Product Security and CI/CD Security
• CISSP, CISM, CISA, or equivalent certifications

What We Offer

• Competitive salary and benefits package.
• Equity in a rapidly growing company.
• Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
• Opportunity to make a significant impact on global financial infrastructure.
• Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Role 

We are looking for a Staff Software Engineer to join our Identity & Access Management team. This is a hybrid role based in Bangalore, reporting to the Sr. Director, Engineering. You will help manage digital risk by applying security through identity integration and controls. In this role, you will build workflows and application integrations as coordinated with the larger IAM team, Product Management, and Business teams.

What you’ll do (Role Expectations)

• Lead the development of identity management products for Zscaler
• Design and implement core product functionality and key technical initiatives
• Collaborate with team members to maintain a positive working culture and drive technical excellence

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of software development experience in large-scale commercial networking applications with a degree in Engineering or Computer Science
• Deep proficiency in enterprise Java, object-oriented programming (OOP/OOA), systems architecture, and RESTful APIs
• Hands-on experience with SQL and Postgres
• Strong understanding of networking protocols, including HTTP, SSL/TLS, and TCP/IP
• Technical expertise in frameworks such as Hibernate and Spring, as well as CI/CD tools and processes

What Will Make You Stand Out (Preferred Qualifications)

• Knowledge of Identity and Access Management protocols, such as OAuth, OpenID Connect, SAML, Federation, or SSO
• Practical experience with Docker, Kubernetes, and container infrastructure

#LI-Hybrid #LI-VV3

About the role

This is a senior IC role for a backend specialist who can alternate between two operating modes: (1) shaping platforms that many product teams build on, and (2) diving deep with a team to crack a hard, high-stakes technical problem. You will also build AI-native capabilities into our platform (LLM orchestration, evaluation, cost and latency controls, guardrails), build novel systems, and raise the reliability, performance, and developer experience across services.

You will partner across multiple product groups, write crisp technical strategy, and be the engineer others look to for judgment, taste, and depth.

What you’ll do

• Align engineering roadmap with business outcomes. Translate company goals and customer needs into a technical roadmap. Communicate trade-offs and decisions in plain language
• Design and evolve core platforms for APIs, data, and AI that are scalable, observable, secure, and cost-aware ( thousands of concurrent assistant sessions, bursty traffic).
• Embed AI as a first-class concern: request orchestration, evaluation harnesses, guardrails and safety, prompt and data governance.
• Partner to deliver impact: Work with product managers and, when needed, customer-facing teams to drive impact.
• Mentor: raise the bar through reviews, design reviews, and hands-on pairing; be a model others emulate.

Who you are

• Backend/platform engineer with over 8 years of experience building and operating production-grade services with clear ownership of outcomes.
• Strong in system design and distributed systems, with hands-on experience across cloud platforms (AWS/GCP), containers & Kubernetes, Infrastructure as Code (Terraform), and CI/CD automation.
• Depth in one or more of Go, Java, Ruby, Python, or JavaScript, and ability to quickly learn new languages and frameworks.
• Proficient with Postgres/MySQL and NoSQL databases, and experienced in event-driven architectures using Kafka or similar for streaming and async 
• Excellent communicator who writes clear documentation, explains trade-offs simply, mentors peers, and influences across teams without direct authority.

Even better if you have

• Exposure to AI systems in production such as LLM gateways, prompt or model evaluation and  guardrails.
• Experience improving developer experience across the company.
• Public artifacts such as design write-ups, talks, or OSS contributions.

You’ll thrive in this role if

• You communicate with clarity and empathy, engaging both technical and non-technical stakeholders to build shared understanding and drive complex decisions forward.
• Balance long-term decisions with fast, incremental delivery.
• Care about developer experience as much as raw performance and reliability.

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

Desired Skills & Experience 

• 4 - 5+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience.