About the Team 

The Cloud Technology Infrastructure team at Roku is looking for a dedicated engineer to join our Cloud Infrastructure Operations group. As a pivotal team, we’re committed to building a scalable, secure, and reusable infrastructure platform that empowers all Roku teams to deliver with speed and confidence. Embracing an ‘Infrastructure as Code (IaC) First’ methodology, we’re eager to onboard a professional who’s ready to partner across teams to build foundational components in Networking, Infrastructure, Identity Management, and Security. 

About the Role  

Are you passionate about streamlining the creation of Cloud infrastructure to achieve maximum efficiency? Do makeshift Cloud services that require manual configuration cause you concern? If you excel in roles that simplify processes for engineers, enabling them to take ownership with ease, and if you’re an advocate for Infrastructure as Code (IaC), then this opportunity is tailored for you. Join us and play a key role in shaping the building blocks that will empower teams across Roku to innovate and thrive. 

What you’ll be doing  

• Collaborate with development teams to enhance their cloud service management capabilities, ensuring they can independently deploy, monitor, and maintain their services. 
• Implement monitoring and observability solutions that provide real-time insights into infrastructure health, enabling proactive issue resolution and system optimization. 
• Participate in a shared On-Call rotation to support critical infrastructure incidents, IAC CI pipeline issues, and cloud networking escalations, ensuring high availability and rapid incident response. 
• Design and implement network observability solutions that provide end-to-end traffic visibility across cloud networking—including Kubernetes, VPCs, routing, peering, and cross-cloud connectivity—by collaborating with the Platform team to provide granular, real-time insights into cloud-native networking, leveraging visualization platforms and telemetry data to support troubleshooting and performance optimization. 
• Partner with technical leaders on the Infra Roadmap to fortify our infrastructure security, leveraging cutting-edge automation tools for proactive defense strategies. 
• Develop frameworks into Infrastructure as Code (IaC) workflows, promoting reusable and adaptable infrastructure components deployed via CI/CD. 
• Advocate for cloud cost optimization strategies, ensuring efficient resource utilization and cost-effective infrastructure management. 
• Champion best practices across all functions, including development, QA, and Infrastructure/Operations, to foster a culture of excellence and continuous improvement. 

We’re excited if you have 

• 7+ years of experience designing and operating scalable, resilient cloud-native systems, with a focus on automation, observability, and developer enablement. 
• Deep expertise in public cloud networking (AWS/GCP), including VPC design, peering, routing, NAT gateways, and service endpoints. 
• Developer skills in Python, Java, or Go writing applications and code that will bring together data from disparate systems and will work to help visualize data in a way that will make business decisions easier. 
• Experience managing and debugging traffic flows between Kubernetes workloads and cloud-managed services, with a strong understanding of how service discovery, DNS, and overlay networks impact observability. 
• Proven ability to architect and implement network mapping and visualization solutions (e.g., using tools like Istio telemetry, or custom Grafana dashboards) to provide actionable insights into traffic behavior and dependencies. 
• Required experience building and managing complex networks in public cloud providers like AWS, GCP and integrating them with cloud-native platforms, such as Kubernetes. 
• Hands-on advanced experience utilizing cloud-native services in large scale environments with AWS/GCP using Infrastructure-as-Code (Terraform) and other CI/CD tools/services. 
• Experience enabling monitoring solutions to visualize and create alerts for core infrastructure with one or more of the following: Grafana, Prometheus, and Datadog. 
• Experience driving timely consensus in design with other senior team members across a large organization. 
• Experience with how to create infrastructure using CI, Continuous Delivery, and Continuous Deployment workflows; GitLab experience desired. 
• Excellent written and verbal communication skills to help communicate complicated workflows to a broad and diverse user group. 
• B.S. or M.S. degree in Computer Science, Engineering, or equivalent. 
  
  
  
  
  

About the team

About the Role:

We are seeking a talented and experienced SRE (Site Reliability Engineering) Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in SRE practices, cloud infrastructure management, and automation. If you have a consistent track record of architecting and building large-scale systems, enjoy solving intriguing system challenges at internet-scale, and if you are innovative at heart, and have a great balance of skills in learning, organizing, building, and enjoy making an impact, this role might be a great fit for you!

What you’ll be doing:

• Design & Infrastructure

  • Contribute to postmortem culture by facilitating comprehensive, blameless post-incident reviews that identify root causes, contributing factors, and actionable remediation items. Track incident trends to identify systemic issues and prioritize reliability improvements.

  • Implement chaos engineering practices to proactively identify failure modes, validate system resilience, and build confidence in recovery procedures. Conduct game days and disaster recovery exercises.

• SRE Process & Principles Implementation

  • Deploy and evolve SRE practices across the organization by establishing core SRE principles, frameworks, and methodologies. Define and implement service reliability practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets, to balance innovation velocity with system reliability.

  • Manage Error Budgets as a mechanism for making data-driven decisions about feature velocity vs. reliability. Track, report, and enforce error budget policies, facilitating conversations between engineering and product teams about risk tolerance and release decisions.

• Reliability Engineering & Infrastructure

  • Reduce toil through automation by identifying repetitive operational work and systematically eliminating it through infrastructure-as-code, automation frameworks, and intelligent tooling. Measure and track toil reduction efforts, aiming to keep toil below 50% of team time.

  • Implement capacity planning processes that ensure systems have adequate headroom to meet SLOs during peak traffic, unexpected load spikes, and degraded states. Develop predictive models and automated scaling mechanisms.

• Observability, Monitoring & Reporting

  • Build comprehensive observability systems that provide deep visibility into service health, performance, and user experience. Implement monitoring strategies based on the Four Golden Signals (latency, traffic, errors, saturation) and USE/RED methodologies.

  • Create SRE dashboards and reporting mechanisms that provide real-time visibility into SLO compliance, error budget consumption, and system reliability metrics. Develop executive-level reporting on reliability trends, incident impact, and improvement initiatives.

  • Establish alerting strategies that are actionable, symptom-based, and aligned with SLOs. Reduce alert fatigue by tuning thresholds and eliminating noise while ensuring critical issues trigger appropriate responses.

• Collaboration and Leadership

  • Partner with development teams to implement reliability from the design phase using SRE principles. Conduct design reviews focused on failure modes, scalability, observability, and operational concerns. Guide teams in building services that meet SLO requirements.

  • Collaborate through code reviews and design reviews, ensuring infrastructure-as-code, automation scripts, and reliability improvements follow best practices, are well-documented, and maintain high-quality standards.

  • Manage project priorities using error budgets as a decision-making framework. Leverage agile methodologies while ensuring reliability work gets appropriate prioritization alongside feature development.

• Operational Excellence & Continuous Improvement

  • Identify and eliminate performance bottlenecks through detailed analysis of metrics, traces, and profiles. Optimize system resources, tune configurations, and implement auto-scaling to ensure SLO compliance during varying load conditions.

  • Drive continuous improvement through SRE feedback loops by analyzing SLO violations, incident trends, and toil metrics to identify systemic improvements. Champion the reliability roadmap and advocate for technical debt reduction.

  • Maintain a culture of documentation and knowledge sharing by creating comprehensive runbooks, operational guides, system architecture documentation, and disaster recovery procedures. Ensure operational knowledge is distributed across the team.

  • Track and report on SRE metrics, including SLO compliance rates, error budget consumption, mean time to detection (MTTD), mean time to resolution (MTTR), toil percentage, and reliability improvement velocity.

• On-call & reliability

  • Participate in a 12x7 on-call rotation and be available to work with global teams in the event of critical outages

We’re excited if you have:

• Preferably 8+ years of experience in DevOps/SRE roles, with demonstrated expertise in implementing SRE principles, SLO/SLI frameworks, and error budget policies in production environments.

• Deep experience with observability and monitoring platforms such as Prometheus, Grafana, Datadog, New Relic, or equivalent, including experience building custom dashboards, alerts, and SLO-based monitoring.

• Strong background in incident management, including experience as an Incident Commander, conducting blameless postmortems, and implementing systematic reliability improvements based on incident learnings.

• Strong understanding of distributed systems and reliability engineering, including failure modes, fault tolerance patterns, circuit breakers, bulkheads, rate limiting, and graceful degradation strategies.

• Experience with a number of the following: Kubernetes, Docker, Service Mesh such as Istio, Envoy, Linkerd, Solo & ECS

• Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages

• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation

• Experience with CI/CD automation, including GitLab pipelines and other related tools.

• Strong hands-on experience with cloud platforms such as AWS, GCP or Azure

• Proven track record of implementing scalable, high-performance infrastructure solutions in fast-paced, dynamic environments

• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment

• Self-driven and detail-oriented with the ability to understand complex distributed systems and identify reliability risks proactively.

• Certifications in relevant technologies, such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP), are preferred

• BS Degree in Computer Science or Equivalent.

#LI-SK8

About Us:

At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!

The Role:

Sauce Labs is looking for a passionate Senior Backend Engineer to join the Sauce Connect team. This agile development team plays a critical role in enabling enterprise customers to maximize their use of Sauce Labs by providing a fast, secure connection between their internal development networks and our cloud-based virtual testing environments. You will work closely with the Product Owner, Engineering Manager, and other talented Sauce Connect engineers to achieve excellent results and shape the future of Sauce Connect

Responsibilities:

• Lead the technical direction and architectural design of Sauce Connect, collaborating with a cross-functional team to deliver a fast, secure, and scalable tunneling solution.
• Design, develop, and own projects across the full stack, from the backend server infrastructure to the client-side application on Linux, Windows, and macOS.
• Act as a technical expert for complex, escalated customer issues, performing root cause analysis and implementing robust solutions to prevent future problems.
• Drive continuous improvements in the scale, performance, and quality of our Trusted Connection Technologies, mentoring other engineers on best practices and system health.
• Proactively identify and evaluate emerging technologies in the open-source community, presenting well-researched proposals for adoption to drive innovation and technical excellence.
• Make and defend architectural decisions based on your extensive experience, balancing trade-offs between technical debt, velocity, and long-term maintainability.

Required Skills:

• 5+ years of professional software development experience in Python or Golang, with a proven track record of designing, building, and operating complex distributed systems and high-availability online services at scale.
• Experience in working with CI/CD tools (designing and implementing robust, automated pipelines using tools like GitHub Actions, GitLab CI, or Jenkins)
• Advanced experience with tunneling, proxy, or VPN-related solutions, with a understanding of their security implications and performance characteristics.
• Deep knowledge of TCP/IP networking, HTTP2, SSL/TLS, and WebSockets. You should be able to debug network issues at the packet level.
• Hands-on experience deploying and managing containerized applications at scale using Kubernetes.
• Demonstrable product development experience, including the ability to influence product strategy and make technical trade-offs to deliver customer-facing value.
• Exceptional ownership mentality and a passion for crafting elegant, well-architected products that deliver stellar user experiences.

Nice to Haves:

• Experience with asynchronous programming
• Experience building and consuming microservices
• Knowledge and understanding of data structures, algorithms, distributed systems, and design patterns.
• Familiarity with modern monitoring systems (e.g., Prometheus or OpenTelemetry)
• Understanding of common security practices involved in protecting customer data

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Role

We are looking for a Staff Detection Engineer to join our Zscaler Threat Hunting team, reporting to the Senior Manager, Zscaler Threat Hunting. You will combine threat research and engineering expertise to build the next generation of detections across AWS and cloud infrastructures. By leveraging big data platforms like Hadoop and Athena, you will design scalable hunting logic and automated pipelines to defend our global footprint and enhance threat visibility.

What you’ll do (Role Expectations)

• Combine threat research and engineering expertise to develop advanced detections and hunting logic using Python and AWS infrastructure

• Design, scale, and maintain engineering projects, including GitLab pipelines and repeatable deployment steps to improve hunting efficiency

• Develop YAML-based detections and SIGMA-like rule technologies while migrating existing hunting detections to next-generation systems

• Utilize data platforms like Hadoop, Athena, and data lakes to monitor and test new intelligence sources for enhanced threat visibility

• Independently write detections and playbooks while supporting operational demands, including weekend night shifts and on-call rotations

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)

• Proven experience in detection engineering, threat hunting, security operations, or malware analysis

• Hands-on experience developing and implementing detection rules in SIEM tools such as Splunk, Microsoft Sentinel, or ElasticSearch

• Deep familiarity with the MITRE ATT&CK framework and experience translating TTPs into actionable detection logic

• Bachelor’s or graduate degree in Computer Science, Engineering, or a related discipline, or equivalent security industry experience

• Ability to work flexible schedules, including weekend night shifts, to meet global operational demands

What Will Make You Stand Out (Preferred Qualifications)

• Significant experience as a Senior Detection Engineer leading complex detection strategies and mentoring junior team members

• Expertise in validating detection logic, performing root cause analysis of failures, and delivering platform improvement recommendations

• Advanced scripting and automation skills in Python for developing and managing complex detection infrastructure

#LI-Hybrid #LI-PM5

Role 

We are looking for a Principal Software Engineer to join our team. This is a hybrid role based in Mohali/India, reporting to the Director, Software Engineering within the Shared Platform Services department. As a technical leader, you will drive the evolution of our platform by designing and building scalable, high-performance microservices. You will bridge the gap between architectural vision and hands-on execution to deliver robust APIs that power our global infrastructure.

What you’ll do (Role Expectations)

• Develop high-quality, performant, and secure APIs and microservices that are reusable and extensible
• Collaborate with front-end engineers to define and deliver endpoints for high-quality user interfaces
• Lead DevOps initiatives including continuous integration, provisioning, and software version control
• Design and extend in-house APIs and client-side code using RESTful standards and SDKs
• Drive strategic contributions to system design and long-term platform architecture

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)

• Deep expertise in hands-on software application development for complex, large-scale systems
• Proficiency with Quarkus (Mutiny) and Spring (Webflux) reactive frameworks
• Experience building cloud-native distributed applications with Dapr and Kubernetes
• Background in containerized deployment using Docker and Kubernetes on AWS, GCP, or similar cloud providers
• Ability to work independently and pivot quickly in a fast-paced Agile environment

What Will Make You Stand Out (Preferred Qualifications)

• Advanced knowledge of Docker/Kubernetes and container infrastructure internals
• Polyglot coding ability with comfort switching between Java, Go, and Python
• Direct experience building and managing Gitlab CI/CD pipelines

#LI-Hybrid #LI-SU1

Role 

We are looking for a Senior Staff Software Engineer to join our ZCC Team. This is a hybrid role based in Mohali/Bangalore Location, reporting to the Senior Engineering Manager within the Engineering department. As a Senior Staff Software Engineer, you will be a key player in the entire product development lifecycle, designing and maintaining high-quality server-side software. Your deep knowledge of C programming and low-level system architecture will be crucial for creating efficient, reliable, and scalable solutions that enable organizations worldwide to harness speed and agility.

What you’ll do (Role Expectations)

• Designing, developing, coding, testing, and debugging complex software in C language
• Architecting and implementing software for resource-constrained environments including optimized memory and CPU usage
• Developing networking applications on Operating Systems like Linux or FreeBSD to ensure deterministic and reliable performance
• Mentoring junior engineers, conducting code reviews, and championing best practices in software engineering
• Creating and maintaining comprehensive technical documentation for software designs and APIs

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)

• 7+ years of professional experience in software development with a focus on system software
• Expert-level proficiency in C programming; experience in Java is a plus
• Strong hands-on experience with Operating Systems such as Linux or FreeBSD
• Proficiency in using debugging tools including GDB and logic analyzers
• Experience with version control systems, particularly GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Solid understanding of computer architecture, memory management, and concurrency
• Knowledge of networking protocols including TCP/IP and UDP

#LI-RG

#LI-Hybrid

Why Verifone

For more than 30 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located

About the Role

We are looking for an experienced QA Engineer with a strong background in test automation and fintech systems. The ideal candidate will play a key role in ensuring the quality, reliability, and security of mission-critical financial applications.

Key Responsibilities

• Design, develop, and maintain automated test frameworks for web and API applications
• Perform functional, regression, integration, and system testing
• Collaborate closely with developers, product managers, and DevOps teams
• Validate data accuracy, transaction flows, and business rules in financial systems
• Execute API testing and backend validation
• Integrate automated tests into CI/CD pipelines
• Identify, document, and track defects through resolution
• Ensure compliance with quality standards and fintech regulations 

Required Skills & Experience

• 5+ years of experience in Quality Assurance
• Strong experience in test automation (Selenium / Cypress / Playwright / Appium)
• Proficiency in at least one programming language (Java, Python, JavaScript)
• Experience testing fintech applications (banking, payments, trading, lending, etc.)
• Hands-on experience with API testing (Postman, RestAssured, etc.)
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
• Strong understanding of SDLC and Agile methodologies
• Excellent analytical and problem-solving skills

Nice to Have

• Experience with performance testing (JMeter)
• Knowledge of security testing and compliance standards (PCI-DSS, SOC2)
• Experience with cloud platforms (AWS, Azure, GCP)
• Exposure to microservices architecture

Why Join Us

• Work on cutting-edge fintech products
• High ownership and impact role
• Collaborative and growth-oriented environment

Our commitment

Verifone is committed to creating a diverse environment and 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. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges.

Smartsheet is seeking a Senior Business Systems Engineer to join our Corporate Systems Development team in Bangalore. This role focuses on building and maintaining scalable backend integrations using AWS services, powering mission-critical data flows across internal systems in Finance, People, Sales, Legal, and Engineering. You’ll develop solutions leveraging tools like AWS Lambda, SQS, SNS, and languages such as Node.js and Python, integrating systems such as Salesforce, NetSuite, Workday, Snowflake, and other enterprise platforms. If you thrive on backend architecture, cloud automation, and building systems that scale, this role is for you.

This role is based in Bangalore, India, reporting to the Senior Manager, Systems Development, and collaborating closely with global engineers, system analysts, and architects.

You Will:

• Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge
• Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms
• Refactor and enhance legacy integration logic to align with modern architecture standards
• Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation
• Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs
• Participate in a shared production support rotation, resolving critical integration and data pipeline issues
• Provide technical mentorship to junior engineers, especially on high-complexity initiatives
• Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience
• Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events
• Contribute to evolving team SOPs, architecture standards, and shared development libraries
• Lead backend development within complex cross-functional projects, including work breakdown and delivery tracking

You Have:

• BS in Computer Science, related field, or equivalent industry experience
• 7+ years of experience in backend software development or automation using Node.js, Python, VS code or similar
• Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB
• Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred)
• Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability
• Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc.
• Experience with managing infrastructure as code (Terraform, CloudFormation)
• Demonstrated experience building and maintaining integrations with Salesforce, NetSuite, Workday, Coupa, Stripe, Snowflake
• Familiarity with data validation, schema evolution, and cross-system reconciliation (preferred)
• Excellent collaboration and communication skills in a distributed, global team setting
• Confidence navigating production environments, owning critical issue resolution from end to end
• Experience delivering integrations and automation solutions across Finance, People, Sales, Legal, BI
• Proven ability to lead initiatives and proactively communicate with technical and non-technical stakeholders
• Comfortable working independently, while also mentoring and reviewing work for Level 1/2 developers
• The flexibility to adjust to changing priorities, new technologies, and evolving project requirements.
• Comfortable operating in an Agile environment, and familiar with Sprint ceremonies like Daily stand-up, Sprint planning,Sprint Finalization etc. 
• Familiar with prompt engineering / Generative AI for code generation is preferred

Senior DevSecOps Engineer

Position Summary

The Senior DevSecOps Engineer will be embedded within product engineering teams to implement and maintain secure, automated, and reliable delivery pipelines while following standards, frameworks, and guardrails set by the DevSecOps Center of Excellence (CoE).

This is a hands-on role that reports to the Manager of DevSecOps and works directly with developers, SREs, and product managers to enable faster, safer deployments, cost-efficient infrastructure, and adherence to enterprise security policies. The engineer will collaborate closely with Principal and Senior Staff DevSecOps engineers for technical guidance and mentoring while operating within the centralized DevSecOps leadership framework.

Key Responsibilities

Product Line DevSecOps Execution

· Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for the assigned product line.

· Integrate security testing (SAST, SCA, DAST, container scanning) into build and deployment workflows.

· Apply CoE standards, templates, and automation frameworks consistently within product environments.

· Troubleshoot and resolve DevSecOps issues, escalating complex challenges to Staff/Principal engineers.

Infrastructure & Automation

· Implement Infrastructure-as-Code (Terraform, CloudFormation) for product infrastructure.

· Adopt GitOps practices for repeatable and auditable infra provisioning.

· Ensure infrastructure deployments comply with security guardrails, tagging, and cost controls.

Observability, Security & Compliance

· Collaborate with SREs to enable monitoring, logging, and observability (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Ensure pipelines and infrastructure comply with HIPAA, SOC2, and internal security standards.

· Embed IAM, KMS, GuardDuty, Security Hub into workflows for cloud security posture.

FinOps & Cost Awareness

· Implement CoE-defined cost governance practices in product pipelines.

· Ensure workloads are tagged, right-sized, and cost-efficient.

· Provide cost visibility to product teams and support FinOps reviews.

Collaboration & Continuous Improvement

· Work closely with developers, QA, SRE, and product managers to support secure and efficient delivery.

· Participate in CoE knowledge-sharing sessions, playbooks, and Communities of Practice.

· Contribute feedback from product teams back into the CoE to improve standards and frameworks.

· Continuously learn from Staff and Principal engineers and apply best practices within the product line.

Qualifications & Experience Required

· 8+ years in DevOps, Cloud, or Security Engineering.

· Strong hands-on experience with CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD).

· Proficiency in AWS services (EKS, ECS, EC2, S3, IAM, Security Hub, GuardDuty).

· Hands-on with containers & Kubernetes (Docker, EKS).

· Experience with Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).

· Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Programming/scripting in Python, Go, or shell scripting.

· Strong collaboration skills in cross-functional product teams.

Preferred

· Experience in SaaS or healthcare software environments.

· Knowledge of databases (MongoDB, Elasticsearch, SQL).

· Familiarity with compliance frameworks (HIPAA, SOC2, ISO 27001).

· Certifications: AWS Security Specialty, CKA/CKAD, FinOps Certified Practitioner

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Software Development Engineer in Test (SDET) who cares deeply about building secure, high-quality software—and wants to work on problems that actually matter.

We are a great home for people who are intrinsically motivated—proud of their craft and excited to build with a high-bar team that expects great work and supports you.

You’ll work on HYPR’s cyber security platform, used by Fortune 500 companies:

• Collaboration: Work with developers to understand product architecture and identify issues early.
• Automation Frameworks: Design, build, and maintain automated test frameworks
• Code Quality: Develop automated test scripts and tools using Java, Python, or JavaScript.
• CI/CD: Integrate automated tests into Continuous Integration/Continuous Delivery pipelines.

“If you enjoy solving difficult engineering challenges and want to help define the future of secure authentication, we’d love to talk.”

What you will do

• You will break up complex features into clear, automatable tests and build testing solutions that scale well
• You will test mobile and desktop applications, SaaS services, platform scalability and database migrations
• Partner with engineering teams to enable our Continuous Delivery pipelines to have strong automated test coverage, stable environment setup/teardown, and reliable quality gates
• You will learn new systems and integrations quickly and be able to communicate the challenges and advantages clearly
• You will participate in the full development life cycle, adding your insights to requirements, designs and code reviews

What you have done

• Bachelor's degree in Computer Science or related field of study (Master's preferred)
• Strong CS fundamentals, including data structures and algorithms
• 8+ years of automation experience
• Experience working in a Continuous Delivery environment—frequent releases, automated testing gates, CI/CD pipelines, environment automation
• Interest in or experience with AI-assisted development workflows, as HYPR is moving toward an AI-native engineering model
• Experience with BDD/Selenium automation across mobile drivers, BrowserStack, or similar
• Experience testing SaaS platforms or complex distributed systems
• Experience with Git Flow and tools such as Gitlab, Artifactory and Jira

Nice to Have

• Knowledge of identity management systems, such as MS Entra or similar
• Experience testing Windows and Mac desktop applications
• Experience testing with virtual machines
• Good working knowledge of cross-browser and cross-device testing

What HYPR Offers

• Long-Term stability within a high-growth sector within identity access automation.
• Majority of HYPR engineers are Senior; you’re joining a team of all-stars who consistently deliver the highest quality code and products on tight timelines.
• Strong support for work–life balance, with flexibility to meet family and personal responsibilities. We offer a generous amount of PTO and wellness days.
• Emphasis on collaboration, with paid weekly team lunches in office (some variations by country).
• Employer-paid supplemental medical coverage (some variations by country).
• Paid access to leading industry conferences and opportunities to participate in standards bodies, including FIDO and OAUTH.
• Extreme product focus with high levels of ownership and autonomy—you’ll work on cutting-edge, high-impact problems, bringing together your own insights to drive meaningful outcomes

Full Time Opportunity: Yes

Remote: Yes

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

The Challenge 

We are looking for a Senior level SDET to support our product development teams. As the Principal SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. 

Your Mission 

Position Summary:

We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.

You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.

Key Responsibilities:

• Develop, Analyze and structure product specifications for input into GenAI programming tools.
• Operate GenAI systems to generate code based on structured inputs.
• Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
• Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
• Provide feedback to improve GenAI model outputs and prompt engineering strategies.
• Review and validate generated code for correctness, efficiency, and adherence to coding standards.
• Maintain documentation of input formats, code review findings, and feedback cycles.
• Stay current with advancements in GenAI programming tools and code generation technologies.
• Participate in code reviews and mentor junior developers.

Basic Qualifications:

• Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
• 8 to 10 years' experience with strong expertise in at least one of the following:
• TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
• Python (Django, Flask, FastAPI/ RestAPI)
• Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
• Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
• Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
• Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
• Strong understanding of software development principles and code review practices.
• Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
• Strong grasp of software design principles (OOP, SOLID, microservices).
• Excellent problem-solving, debugging, and collaboration skills.
• Excellent analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience working with prompt engineering or structured input design for GenAI systems.
• Exposure to MLOps or AI model evaluation frameworks.
• Knowledge of software architecture and design patterns.
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to serverless architecture and event-driven systems.
• Contribution to open-source or AI-driven development communities.

Job Title: Java Microservices Developer - Bangalore

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 7+yrs

Skills and Qualifications:

7+ years of experience in backend development with a strong focus on Java, Microservices and Kafka

Java Microservices Back end Developer

Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers

1. Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST 
2. Drive analysis of business requirements, functional requirements, and technical specification documents to design 
   and develop technical solutions that meet business needs
3. Assess opportunities for application and process improvement and obtain broader buy-in across global stakeholders 
4. Pro-actively share and report risks, issues, challenges, blockers and forthcoming tasks with the stakeholders and team 
5. Expertise in leading and managing technical aspects of API framework design and development
6. Understanding of overall production Incidents / RCA for any feature that is delivered. \
7. Working knowledge on --Java , Spring boot , microservices , AWS design , KAFKA ,Kubernetes ECS3 , Workflows such as Camunda BPM
   
   

Preferred Skills:

Experience with microservices architecture. Familiarity with CI/CD tools and practices (Jenkins, GitLab). Knowledge of Kafka is preferred.

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job Title: Java Microservices Developer - Bangalore

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 7+yrs

Skills and Qualifications:

7+ years of experience in backend development with a strong focus on Java, Microservices and Kafka

Java Microservices Back end Developer

Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers

1. Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST 
2. Drive analysis of business requirements, functional requirements, and technical specification documents to design 
   and develop technical solutions that meet business needs
3. Assess opportunities for application and process improvement and obtain broader buy-in across global stakeholders 
4. Pro-actively share and report risks, issues, challenges, blockers and forthcoming tasks with the stakeholders and team 
5. Expertise in leading and managing technical aspects of API framework design and development
6. Understanding of overall production Incidents / RCA for any feature that is delivered. \
7. Working knowledge on --Java , Spring boot , microservices , AWS design , KAFKA ,Kubernetes ECS3 , Workflows such as Camunda BPM
   
   

Preferred Skills:

Experience with microservices architecture. Familiarity with CI/CD tools and practices (Jenkins, GitLab). Knowledge of Kafka is preferred.

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

As a global leader in Collaborative Work Management and with a market cap of $10bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 9 teams with over 70 engineers in 2024. As we expand into India and build out a new operation, we're searching for a talented and motivated Principal Analytics Engineer (Data Architect) to serve as a thought leader in our data-driven decision-making. You will be responsible for the end-to-end system design and architecture of our business critical analytical systems (DWs). This role will be responsible for the design and development of a governed, reliable, and scalable analytics ecosystem, transforming raw data into high-value, performant data products for DS/ML, analytics, and reporting.

A key aspect of this role is providing thought leadership and architecting efficient, large-scale data transformation systems within Snowflake. You will have demonstrated experience architecting data solutions for SaaS companies, specifically within the Go-To-Market (GTM), Marketing, Customer Experience, and Financial business domains. Working as a strategic advisor to BI analysts, Data Scientists, and business leadership, you will drive the organization's data strategy, ensure data accessibility, and foster data democratization across the enterprise.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Lead the end-to-end system design and architecture for large, complex analytics systems, optimizing data transformations from our data lake in Snowflake into analytical data products (DWs).
• Define and drive the adoption of design standards, architectural principles, and data modeling methodologies (including Data Vault (DV 2.0) and dimensional modeling) across the organization.
• Propose and drive strategic initiatives and coordinate the technical roadmap for analytical systems across the engineering organization partnering closely with the Big Data Platforms (BDP) team.
• Serve as the data architect for critical SaaS business domains, including Go-To-Market, Marketing, Customer Experience, and Finance, translating ambiguous business problems into scalable technical analytical solutions.
• Develop and implement the organization's data strategy for data quality, observability, and testing, raising the bar for engineering quality.
• Architect and guide teams to build and maintain a governed, robust, reliable, and scalable analytics system leveraging Gen AI capabilities including AI-assisted code development practices.
• Act as a trusted advisor to BI analysts, data scientists, and business leaders, educating and advising leadership on technical data topics and data accessibility strategies.
• Foster data democratization via activation of data on critical platforms like Smartsheet Platform, Amplitude, ThoughtSpot, Gainsight & Salesforce.
• Actively mentor analytics engineers and provide mentorship across disciplines, leading forums such as guilds, design reviews, and engineering forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 12+ years of experience in advanced data modeling, data architecture, and data warehousing. This role is expected to do development activities in combination of the data architecture scope, so hands-on experience is necessary.
• Deep expertise and 10+ years of hands-on experience with Data Vault (DV 2.0) and Dimensional Modeling.
• Expert-level knowledge of modern data stacks, including Snowflake, dbt, and data orchestration tools (e.g., Airflow, GitLab pipelines).
• Proven experience architecting and building analytical products for SaaS companies in GTM, Marketing, Customer Experience, and Financial data domains.
• Comprehensive understanding of data topologies (e.g., data mesh, hub/spoke) and data modeling methodologies (e.g., Data Vault, Kimball, Inmon).
• Demonstrated ability to drive clarity in ambiguous environments where the strategy may not be defined.
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Exceptional communication skills, with experience educating and advising senior leadership and mentoring teams across disciplines.
• Strong knowledge of data governance principles, CI/CD practices (e.g., GitLab), self-serve analytics tools (e.g., Amplitude, ThoughtSpot), and cloud architectures (AWS preferred).

Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
• Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
• Mine large datasets to ensure data accuracy and completeness for reporting purposes   
• Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports     
• Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics   
• Automate report generation and distribution to improve efficiency
• Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
• Ensure data governance and data integrity across all reporting tools and platforms
• Proactively identify and propose improvements to existing reporting processes and systems
• Be a mentor and leader to the more junior analysts on the team
• Perform other duties as assigned

You Have:

• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
• 5+ years of experience in an analytics/engineering role with increasing responsibility
• Experience in Cloud and SaaS go-to-market (GTM)
• Expertise in SQL and preparing data for analysis, modeling, and visualization
• 3+ years of experience using Python for data analysis / automation 
• 3+ years of experience with dbt core
• 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. 
• Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) 
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

• Experience building ML models
• Proficiency with Tableau preferred
• Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
• Experience publishing and presenting data and findings to executives and non-data users

Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. 

A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. 
• Contribute to the design standards and architectural principle standards, designs and processes.
• Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
• Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
• Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
• Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
• Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
• Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
• Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
• Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
• Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
• Familiarity with AWS solutions such as S3, EC2, VPC.

 Job Summary

We are seeking a highly motivated QA Automation Engineer to design, develop, and maintain automated testing frameworks while ensuring the quality of SaaS and eCommerce applications.

The role requires strong expertise in Salesforce and SAP systems, hands-on experience with automation tools, and a solid understanding of end-to-end business workflows. The ideal candidate is proactive, detail-oriented, and collaborative, with a focus on continuous improvement in an Agile environment.

What You'll do:

Automation & Test Execution

• Develop and maintain automated test scripts using Selenium, Playwright, or APEX.
• Design scalable automation frameworks for Salesforce and SAP integrations.
• Create and execute test cases including functional, regression, sanity, smoke, and exploratory testing.
• Identify automation opportunities to improve efficiency and reduce manual effort.

E-Commerce & Integration Testing

• Perform end-to-end testing across Salesforce (Sales, Service, Commerce Cloud) and SAP (FICO, BRIM, MM, GRC).
• Validate eCommerce workflows: product catalog, search, cart, checkout, pricing, promotions, and order management.
• Test integrations between Salesforce, SAP, and external systems (e.g., payment gateways).
• Ensure accurate data flow and business process validation across systems.

API, Performance & CI/CD

• Design and maintain API test automation for REST services using Postman/SOAP UI.
• Execute performance testing using JMeter or LoadRunner.
• Integrate automated test suites into CI/CD pipelines (Jenkins, GitLab CI/CD).

Defect Management & Quality Assurance

• Identify, log, track, and retest defects to ensure timely resolution.
• Perform production smoke testing post-deployment to ensure system stability.
• Maintain test suites (Smoke, Sanity, Regression) for optimal coverage.

Agile Collaboration & Test Management

• Participate in Agile ceremonies (Sprint Planning, Stand-ups, Grooming).
• Collaborate with developers, product owners, and stakeholders for requirement clarity and testability.
• Maintain test data, ensure environment readiness, and keep Jira updated with accurate statuses and comments.

Continuous Improvement & Mentorship

• Continuously improve testing processes, tools, and frameworks.
• Maintain clear documentation of test strategies and execution.
• Mentor team members and promote automation best practices.

Technical Skills

• Strong programming skills in Java or Python.
• Proficiency in JavaScript/TypeScript.
• Experience with Selenium, Playwright (preferred), and APEX.
• Expertise in API testing and performance testing tools.

Integration & Tools

• Strong understanding of SaaS applications and end-to-end integration testing.
• Experience with CI/CD tools (Jenkins, GitLab CI/CD) and version control (Git).
• Experience with Jira or similar tools.

What you bring:

Experience: Proven experience as a Test Automation Engineer or similar role with
hands-on experience in automated testing of Salesforce / SAP systems.

Technical Skills:

• Proficiency in modern web technologies (JavaScript/TypeScript).
• Strong programming skills in Java/ Python
• Hands-on experience with testing tools like Selenium, Playwright, APEX
• Good to have experience in Playwright.
• Expertise in API testing tools (Postman, SOAP UI) and performance testing (JMeter, LoadRunner).
• Integration Testing: Familiarity with SaaS applications and full-stack integration testing.

Tools & Platforms:

• Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
• Knowledge of version control systems like Git
• Preferred Qualifications:
• Familiarity with Agile/Scrum methodologies.
• Experience working in B2B SAAS Company.
• Expertise in security testing methodologies.

#LI-VG1

#LI-Hybrid

Position Description: 

Precision for Medicine develops assays and runs global logistics by using biomarkers to stratify patients, incomparably improving R&D efficiency and success for our clients. We lead every aspect of clinical trials from sites to biomarkers to diagnostics, all under a single roof. We dramatically accelerate our clients' pathway from proof of concept to drug approval.         

Qualifications:

• Education: Bachelor’s degree or equivalent desired.  Degree in computer science or related fields preferred.

Work Experience:

• 6+ years of experience in solutioning and delivering software products/solutions including experience in planning and execution. 
• 3+ years of experience in leading the development and implementation of business initiatives and products/projects.
• Proven experience building and delivering high scale, secure platforms (custom developed and off the shelf)
• Experience with cloud-hosted technologies and cloud services (Azure, AWS S3 bucket, Google, Log management of the application like ELK)
• Experience working with a team following Agile software development lifecycle practices
• Experience with debugging tools like developer tools, SQL profiler etc.,
• Experience working with various tools, open-source technologies, and cloud services
• Experience of the following tools and technologies: Angular, DevExpress, SQL Server, ASP.Net C#, Windows, DACPAC, HTML, CSS, JavaScript, jQuery, SSIS and .net core api,
• Experience with Web-Based Development Frameworks such as ASP.NET, WebForms, MVC, Angular, React, Node.js
• Experience working with BitBucket, GitLab, Azure DevOps, Jira, or similar systems for software development
• Lifecycle management, source control, branching, and/or CI/CD pipelines
• Expert with database concepts, data modeling, and data management and optimizing the SQL queries and stored procedures

Skills:

• Ability to drive, contribute, and support the execution of department vision.
• Evangelist for innovation and continuous improvement. Must be able to influence technical and non-technical executives and senior leaders.
• Ability to solve highly complex product issues through technical insight and collaboration with companywide and/or industry peers.
• Deep understanding of business strategy and ability to translate strategy into system and technology solutions.
• Excellent organizational, interpersonal, communication, and presentation skills, must be detail-oriented.
• Ability to create and foster relationships within a team-oriented, collaborative environment leveraging excellent communication skills.
• Ability to quickly learn and adapt to new business processes and technologies
• In-depth knowledge and hands-on experience with all phases of an SDLC.
• Excellent application documentation skills and ability to create architecture diagrams and roadmaps
• Solid understanding of Agile software development principles.

Position Description: 

Precision for Medicine develops assays and runs global logistics by using biomarkers to stratify patients, incomparably improving R&D efficiency and success for our clients. We lead every aspect of clinical trials from sites to biomarkers to diagnostics, all under a single roof. We dramatically accelerate our clients' pathway from proof of concept to drug approval.         

Qualifications:

• Education: Bachelor’s degree or equivalent desired.  Degree in computer science or related fields preferred.

Work Experience:

• 6+ years of experience in solutioning and delivering software products/solutions including experience in planning and execution. 
• 3+ years of experience in leading the development and implementation of business initiatives and products/projects.
• Proven experience building and delivering high scale, secure platforms (custom developed and off the shelf)
• Experience with cloud-hosted technologies and cloud services (Azure, AWS S3 bucket, Google, Log management of the application like ELK)
• Experience working with a team following Agile software development lifecycle practices
• Experience with debugging tools like developer tools, SQL profiler etc.,
• Experience working with various tools, open-source technologies, and cloud services
• Experience of the following tools and technologies: Angular, DevExpress, SQL Server, ASP.Net C#, Windows, DACPAC, HTML, CSS, JavaScript, jQuery, SSIS and .net core api,
• Experience with Web-Based Development Frameworks such as ASP.NET, WebForms, MVC, Angular, React, Node.js
• Experience working with BitBucket, GitLab, Azure DevOps, Jira, or similar systems for software development
• Lifecycle management, source control, branching, and/or CI/CD pipelines
• Expert with database concepts, data modeling, and data management and optimizing the SQL queries and stored procedures

Skills:

• Ability to drive, contribute, and support the execution of department vision.
• Evangelist for innovation and continuous improvement. Must be able to influence technical and non-technical executives and senior leaders.
• Ability to solve highly complex product issues through technical insight and collaboration with companywide and/or industry peers.
• Deep understanding of business strategy and ability to translate strategy into system and technology solutions.
• Excellent organizational, interpersonal, communication, and presentation skills, must be detail-oriented.
• Ability to create and foster relationships within a team-oriented, collaborative environment leveraging excellent communication skills.
• Ability to quickly learn and adapt to new business processes and technologies
• In-depth knowledge and hands-on experience with all phases of an SDLC.
• Excellent application documentation skills and ability to create architecture diagrams and roadmaps
• Solid understanding of Agile software development principles.

Here's a summary of the role:

If you're a compliance professional who believes that the best controls are the ones that run themselves — this one's for you.

As a Compliance Engineer on our Continuous Controls Assurance team, you'll sit at the intersection of compliance, engineering, and business process — your mission being to make compliance a living, automated reality rather than a periodic exercise. You'll inject compliance directly into how the business operates, building the evidence, signals, and automation that lets us prove we do what we say we do.

This role is particularly suited to candidates who have worked across compliance frameworks and technical environments — whether in SaaS companies, cloud-native organisations, or forward-thinking internal audit and GRC functions — and who are comfortable translating control requirements into code, pipelines, and data.

You'll play a central role in maturing our controls assurance program, moving us from point-in-time testing toward continuous, automated monitoring that scales with the business.

Here's a breakdown of what you'll do:

• Design and build automated controls — translate control objectives across frameworks such as SOC 2, ISO 27001, and PCI DSS into automated tests, scripts, and monitoring logic embedded in business and technical processes
• Own continuous controls monitoring — develop and maintain pipelines that continuously collect, evaluate, and surface control evidence, flagging exceptions and deviations in near real-time
• Embed compliance into the SDLC and business operations — partner with Engineering, DevOps, and business teams to integrate compliance checkpoints, policy-as-code, and configuration validation into CI/CD pipelines and operational workflows
• Bridge GRC and Engineering — translate compliance requirements into technical specifications, and translate system behaviour back into auditable evidence — acting as the connective tissue between the two disciplines
• Maintain the controls evidence repository — ensure control evidence is automatically captured, timestamped, and stored in a format that supports internal review and external audit
• Support audit and assurance activities — provide automated evidence packages for external audits, reducing manual effort and improving audit quality and speed
• Identify and close assurance gaps — conduct control gap assessments, recommend improvements, and own the remediation pipeline through to closure
• Collaborate on policy and standard development — ensure that policies are written in a way that can be operationalised and tested, feeding back where policy language creates ambiguity in controls design

These are the essentials you'll need to get an interview:

• Experience in a compliance, GRC, or information security role within a SaaS or cloud-native organisation
• Hands-on experience with one or more compliance frameworks — SOC 2, ISO 27001, PCI DSS, or similar
• Demonstrated ability to automate compliance processes — using scripting (Python, Bash, or similar), APIs, or tooling such as Drata, Vanta, Tugboat Logic, or equivalent
• Familiarity with cloud environments (AWS, GCP, or Azure) and the controls that govern them
• Strong analytical skills — able to decompose a control objective into testable, measurable components
• Excellent written communication — able to produce clear control narratives, test procedures, and evidence documentation

It would be great if you had these too, but we'll support you if you don't:

• Experience with policy-as-code tools (e.g. Open Policy Agent, Conftest, Checkov, or AWS Config Rules)
• Exposure to CI/CD platforms (e.g. GitHub Actions, GitLab CI, Jenkins) and how compliance gates can be embedded within them
• Familiarity with SIEM, log management, or observability tooling in a controls assurance context
• A background that spans both technical and compliance disciplines — e.g. a developer who moved into GRC, or a compliance analyst who learned to code
• Relevant certifications such as CISA, CISSP, CCSP, AWS Security Specialty, or equivalent

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Job Title: Full stack developer - Bangalore and Gurgaon

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore, Pune, Gurugram

Experience - 5 to 8 Years

Skills and Qualifications:

About the Job: Mobile Application & Web Developer Detail-oriented and innovative Mobile Application & Light Web Developer with extensive experience building, optimizing, and supporting cross-platform native and hybrid apps and light web solutions. Proven ability to leverage modern frameworks for intuitive user experiences, integrate with critical APIs and backend services, and collaborate within agile teams. Passionate about delivering secure, customer-focused mobile and web experiences. Skills & Technologies

• Mobile: React, Angular, Ionic, Capacitor, Cordova, Typescript/JavaScript • (Swift (iOS), Kotlin (Android)) • Web: React, Angular, TypeScript, JavaScript (ES6+), Material UI, Redux • Testing & CI/CD: Jest, Jasmine, Karma, CodeMagic, AppFlow, GitLab Pipeline • Cloud & APIs: Firebase, AWS, RESTful APIs, GraphQL, MongoDB, SQL, Redis • Other: CSS3, SASS, HTML5, PWA, Offline-first/Local Storage, UI/UX Design • Workflow: Agile/Scrum, Remote collaboration, Unit testing, Code reviews

Technical Proficiencies Category || Technologies / Tools Mobile Dev || React, Ionic, Capacitor, Cordova, Swift, Kotlin Web Dev || React, Angular, TypeScript, UI Libraries (Material, Tailwind) APIs/Cloud || RESTful APIs, GraphQL, Firebase, AWS Testing/CI || Jest, Jasmine, GitHub Actions

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job Summary: We are seeking a skilled and experienced Linux Systems Engineer to join our team. This role will focus on managing and optimizing our Computer-Aided Design (CAD) systems. The ideal candidate will have a strong background in Linux system administration, experience with CAD tools, and a passion for ensuring the reliability and performance of our engineering infrastructure.

Key Responsibilities:

• System Administration: Design, configure, and maintain Linux-based servers and workstations used for CAD applications. Ensure high availability, usage optimization and performance of these systems.
• CAD Management: Support and manage CAD tools and environments, including installation, configuration, license management and troubleshooting. Work closely with engineering teams to understand their requirements and provide solutions.
• Automation: Develop and maintain scripts and automation tools to streamline system management tasks, such as software deployment, system monitoring, and backup processes.
• Security: Implement and maintain security measures to protect CAD systems and data. Ensure compliance with company policies and industry standards.
• Performance Monitoring: Monitor system performance and resource utilization. Identify and resolve performance bottlenecks to ensure smooth operation of CAD applications.
• Collaboration: Work with cross-functional teams, including IT, engineering, and stakeholders, to ensure seamless integration and operation of CAD systems. Provide technical support and guidance to users.
• Documentation: Create and maintain comprehensive documentation for system configurations, procedures, and troubleshooting guides.

Qualifications:

• Education: Bachelor's degree in Computer Science, Engineering, or a related field.

• Experience: Minimum of 5 years of experience in Linux system administration, with a focus on supporting Grid/scheduling systems and License environments (FlexLM)

• Technical Skills: Proficiency in Linux operating systems (e.g., Red Hat, CentOS, Ubuntu), scripting languages (e.g., Bash, Python), version control (e.g., GIT, Gitlab), and CAD tools (e.g., Questa (Modelsim), Xcelium or VCS).
• Problem-Solving: Strong analytical and problem-solving skills. Ability to diagnose and resolve complex technical issues.
• Communication: Excellent communication and interpersonal skills. Ability to work effectively with diverse teams and stakeholders.
• Certifications: Relevant certifications (e.g., RHCE, CompTIA Linux+) are a plus.

Preferred Qualifications:

• Experience with cloud technologies (e.g., AWS, Azure).
• Knowledge of network protocols and services (e.g., DNS, DHCP, NFS).
• Familiarity with configuration management tools (e.g., Ansible, Puppet).

Job Role Summary: 

We are looking for an experienced and driven Software Engineer II to join our Audio Visual (AV) & Unified Communications (UC) team. In this role, you will act as the software engineering backbone for our AV/UC infrastructure, helping us scale our global communication tools through intelligent automation.

You will be responsible for designing, building, and maintaining automations for our core SaaS platforms, developing internal microservices, and implementing infrastructure-as-code to eliminate manual overhead. The ideal candidate is an independent problem-solver who enjoys working at the intersection of software development and enterprise communication systems.

Key Responsibilities

• SaaS Platform Automation: Design and deploy automated workflows for our primary AV/UC SaaS platforms (e.g., Zoom, Microsoft Teams, Webex, Slack) using their native APIs and webhooks to manage user lifecycles, provisioning, and reporting.
• Internal Services Development: Build, maintain, and scale internally built services, middlewares, and self-service tools that empower end-users and streamline AV/UC operations.
• Infrastructure Automation: Write and maintain scripts and infrastructure-as-code (IaC) to automate the deployment, configuration, and monitoring of AV hardware and UC software environments.
• System Integration: Connect disparate enterprise systems (e.g., HRIS, IT ticketing, and UC platforms) to ensure seamless data flow and process automation.
• Monitoring & Alerting: Develop automated health checks, proactive monitoring, and alerting mechanisms for critical AV/UC infrastructure to minimize downtime.
• Collaboration & Code Quality: Participate in code reviews, maintain clear technical documentation, and write unit/integration tests to ensure highly reliable code deployments.

Required Skills and Experience Level: 

• Experience: 2–4 years of professional experience in software development, backend engineering, or a Site Reliability Engineering (SRE) / DevOps role.
• Programming Languages: Strong proficiency in at least one modern programming language such as Python, Go, JavaScript/Node.js, or C#.
• API Expertise: Proven experience interacting with and designing RESTful APIs, Webhooks, and handling JSON/XML data payloads.
• Infrastructure & Cloud: Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Automation Tools: Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible, Chef, or Puppet).
• Version Control & CI/CD: Solid understanding of Git workflows and building CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).

Preferred Skills: 

• Direct experience working with APIs from major Unified Communications platforms (Zoom, MS Teams, Google Meet, Cisco, etc.).
• Familiarity with AV hardware ecosystems and their management interfaces.
• Experience building chatbots or chatops integrations (e.g., Slackbot, Teams bot).
• Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors, including inter-organizational impact
• Interact with senior internal and external personnel on event production systems matters, standards, and related projects 
• Proficiency with Google Suite tools.
• Security Compliance Certification ISC2 
• Familiarity with QSC, Dante, Crestron, Shure, and AV over IP 
• Collaborative thought leader with the ability to take a proactive approach to dynamic technical aspects of the role
• Okta Essentials Certification is a plus 
• Jamf Associate Certification is a plus 

#Hybrid_Bengaluru

#LI_Linkedin P24874_3391504

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.

This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta.

What You’ll Do

• Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
• Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.
• Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.
• Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.
• Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.
• Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.
• Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.
• Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.

What You Bring

• Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.
• Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.
• Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.
• Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.
• Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.

What Success Looks Like

• A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
• Robust, automated data governance and security frameworks embedded into the platform's core architecture.
• A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
• Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.

#LI_Hybrid 

P24713_3369501

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure.

This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta.

What You’ll Do

• Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt.
• Implement components of our security and governance framework to ensure high-compliance and security standards are met.
• Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes.
• Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably.
• Adhere to and champion best practices in code quality, system design, and operational readiness.
• Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs.

What You Bring

• Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms. 
• Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform.
• Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack.
• Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features.
• Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions.

What Success Looks Like

• You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features.
• The infrastructure you build is automated, secure, and aligns with the team’s best practices.
• You are a trusted, collaborative, and productive member of the data engineering team.
• Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers.

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P24719_3369503

About the Team

This role joins the 'Technology Data Intelligence' organization and plays a critical part in realizing our vision to accelerate the delivery of business outcomes across Okta by driving clarity, collaboration, and accountability in everything we do. We enable the broader TDI organization in the mission to “Accelerate Okta’s Scale and Growth”.

Our team offers integration Engineering services that enable seamless connection and communication among various applications within Okta’s IT ecosystem. This ensures a unified, efficient environment where different systems work together to achieve our broader business goals.

As a Staff Software Engineer from the global Integration Engineering team which spans across the US and India, you’ll provide technical leadership, write hands-on code, and mentor peers while shaping Integration capabilities that empower Okta.

What you'll do : 

• Lead the design, development, and optimization of scalable cloud solutions using AWS, advanced databases, and infrastructure as code (Terraform).
• Develop and maintain applications using Kotlin, Java, Node.js, and React, ensuring robust testing and front-end scalability.
• Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
• Stay updated on AI advancements to enhance project outcomes and drive innovation through Proof of Concepts (POCs).
• Coach and support a geographically dispersed team, fostering skill development and technological mastery.
• Maintain clear and accurate technical documentation for internal and external stakeholders.

What we are looking for:

• Technical Expertise: 8+ years of hands-on development and design experience with AWS services (Lambda, EventBridge, SQS & SNS, API Gateway, DynamoDB, Secrets Manager, EC2, AppFlow, Step Functions, Kinesis) and database technologies (PostgreSQL, DynamoDB).
• Programming & Tools: Proficient in Kotlin, with experience in Java, Node.js, Python, and familiarity with TypeScript and React. Skilled in Terraform, JUnit, and Mockito. Experience with AI technologies is a plus.
• Leadership & Development: Influences design, implementation, and support of business POCs. Coaches and develops individuals, with experience in geographically dispersed teams.
• DevOps & Lifecycle Management: Manages full application lifecycle, including development, deployment, and scaling. Configures and manages GitLab Runners for automated workflows.
• Strong communication and collaboration skills to work effectively across time zones and global teams.

#Hybrid_Bengaluru

LI_Linkedin

# P8396_3395775

Location

New Delhi, India

Job Description

We are seeking a skilled DevOps Engineer to support our team by integrating security into the development and operational pipeline. In this role, you will design and automate CI/CD pipelines, manage cloud infrastructure through Infrastructure as Code (IaC), and implement security controls to protect critical systems. You will work closely with development teams to enhance automation and ensure compliance with security policies. The ideal candidate will have experience in Linux system management, API security, and cloud security practices, along with the ability to collaborate in Agile environments and respond to security incidents proactively.

Responsibilities

• Implement Infrastructure as Code to manage cloud resources efficiently, ensuring scalability and flexibility for all workloads.
• Integrate security controls into the development lifecycle (DevOps principles) to ensure systems are secure from the outset.
• Implement containerization (e.g., Docker, Kubernetes) for deployment, ensuring security practices are embedded into container lifecycle management.
• Implement DevOps practices in alignment with Scaled Agile Framework (SAFe).
• Integrate security measures throughout the software development pipeline.
• Collaborate with Agile teams and participate in SAFe ceremonies.
• Develop and maintain security automation tools and processes.
• Conduct threat modeling and implement secure coding practices.
• Actively participate in incident response and compliance activities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Security, or a related field.
• Expertise in containerization technologies such as Docker and Kubernetes.
• Solid understanding of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with source control tools like Git and GitLab.
• Strong proficiency in programming languages like Python, Java, or Bash scripting.
• Experience in integrating security into CI/CD pipelines and automating security testing.
• Knowledge of vulnerability management, static code analysis, and security testing tools.
• Strong collaboration and communication skills, with the ability to work in Agile environments.

Senior Software Engineer:

Role summary Build, evolve, and operate backend services at scale for ZoomInfo. You’ll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you’ll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

#LI-PM1

#LI-Hybrid

Who we are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you do at Axi!

We are seeking a skilled DevOps Engineer to design, deliver, and support optimized, secure cloud solutions across development and production environments. This role works across multiple product delivery teams, promoting DevOps best practices and ensuring a consistent, high-quality approach to software delivery and infrastructure management.

You will play a key role in driving automation, improving deployment processes, and embedding operational excellence into all technology solutions.

Your EDGE assignment/You will:

• Act as a core member of the DevOps function, contributing to a center of excellence in DevOps methodologies
• Design, implement, and maintain secure, scalable cloud-based solutions
• Promote and enable automation and self-service capabilities across development teams
• Ensure compliance with well-architected frameworks and embed non-functional requirements (security, performance, scalability) by design
• Collaborate with engineering teams to integrate operational requirements into design, build, and deployment phases
• Provide Level 2/3 support, identifying root causes and implementing permanent fixes to prevent recurring incidents
• Implement, configure, and maintain cloud infrastructure and associated technology platforms
• Develop and enhance CI/CD pipelines to enable efficient, reliable deployments (including one-click deployments, rollbacks, and parameterized builds)
• Monitor system performance and proactively identify areas for improvement
• Troubleshoot and resolve complex technical issues across environments
• Work closely with software developers to ensure adherence to best practices, standards, and processes

Are you the one?

Technical Skills

• Strong experience with cloud platforms (e.g., AWS, Azure, or GCP)
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
• Proficiency in infrastructure as code (e.g., Terraform, CloudFormation, ARM templates)
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Solid understanding of system monitoring, logging, and alerting tools
• Experience with scripting languages (e.g., Python, Bash, PowerShell)
• Knowledge of networking, security principles, and cloud architecture best practices

DevOps & Engineering Practices

• Strong understanding of DevOps principles and Agile methodologies
• Experience implementing automation and self-service solutions
• Familiarity with well-architected frameworks and non-functional requirements
• Experience supporting production systems and handling incident management

Soft Skills

• Strong problem-solving and analytical skills
• Excellent collaboration and communication abilities
• Ability to work across multiple teams and manage competing priorities
• Proactive mindset with a focus on continuous improvement

Desirable Skills

• Experience with microservices architecture
• Knowledge of security and compliance standards
• Experience working in large-scale or enterprise environments
• Exposure to Site Reliability Engineering (SRE) practices

Axi's bag of delights

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications and soft skills development.
• 18 annual leave days per year.
• 12 sick days leave per year.
• Public holidays as declared by local government.
• Maternity leave as per law.
• Health Insurance. 

Axi's interview journey

• Talent Acquisition Interview   (45 minutes)
• Hiring Manager Interview (60 minutes)
• Final Interview (60 minutes)

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

About the Company 

At Redpin, we simplify life’s most important payments. Buying a property overseas can be stressful—especially when it comes to moving money. Through our Currencies Direct and TorFX brands, we’ve been helping customers do exactly that for over 25 years.

With recent investment, we are building a new generation of digital products and services that make international real estate payments simpler, faster, and more transparent.

As part of Redpin 2.0, we are transforming from a horizontal FX platform into a verticalized, embedded software company, positioning ourselves as the global solution for real estate payments.

About the Role

At Redpin, this role is not just about managing infrastructure — it’s about building intelligent, scalable, and developer-first platforms that power our next-generation digital products.

As a Senior Software Engineer – DevOps, you will play a hands-on role in designing, building, and operating cloud-native infrastructure and DevOps platforms, with a strong emphasis on automation, reliability, security, and cost efficiency.

We are looking for a DevOps Engineer with exposure to AI/ML or Generative AI use cases, who can help us embed intelligence into our engineering ecosystem — from pipelines to observability and platform operations.

What You'll Do

AI / ML / GenAI

• Hands-on experience with platforms such as OpenAI, Bedrock, or Vertex AI
• Strong understanding of prompt engineering and AI API integrations
• Solid foundation in machine learning concepts and LLM architectures

Cloud Infrastructure (AWS)

• Design and implement AI-powered automation solutions for DevOps and platform engineering use cases
• Build and integrate AI agents to enhance developer productivity
• Develop and maintain CI/CD pipelines with AI-assisted workflows
• Design, provision, and operate secure, scalable AWS infrastructure
• Work across compute, networking, storage, and IAM
• Support multi-account AWS environments and apply governance guardrails
• Implement Infrastructure as Code (IaC) using Terraform and/or CloudFormation
• Troubleshoot and resolve cloud infrastructure issues

CI/CD & DevOps Automation

• Build, maintain, and optimize CI/CD pipelines for application and microservices teams (preferably using GitLab or GitHub)
• Automate build, test, security scanning, and deployments
• Implement deployment strategies such as blue-green, canary, and rolling deployments
• Improve pipeline performance, stability, and developer experience

Cloud Security & Governance (Execution Focus)

• Implement AWS security best practices including IAM, VPC security, encryption, and secrets management
• Enforce tagging standards, access controls, and policy guardrails
• Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
• Support audit and compliance requirements

Reliability & Observability

• Implement and manage monitoring, logging, and alerting solutions
• Build dashboards for system health, availability, and performance
• Improve system reliability through automation and proactive monitoring

Cloud Cost Optimization

• Monitor and optimize AWS costs across services.
• Implement right-sizing, autoscaling, and storage lifecycle policies.
• Support Savings Plans and Reserved Instance optimization.
• Promote cost-efficient cloud usage and architecture

DevOps Best Practices

• Apply and promote DevOps principles such as automation, CI/CD, and IaC.
• Reduce operational toil through tooling and automation.
• Support teams in adopting cloud-native and DevOps best practices

Collaboration & Mentorship

• Work closely with application, SRE, and security teams.
• Mentor junior DevOps engineers through code reviews and hands-on guidance.
• Contribute to documentation, runbooks, and operational standards

What You’ll Need

• Strong hands-on experience with AWS (EC2, EKS, ECS, VPC, IAM, RDS, S3, CloudWatch)
• Experience building AI agents or automation bots
• Familiarity with MLOps and FinOps practices
• Strong scripting skills (Python or Bash)
• Proven experience with CI/CD tools (GitLab CI, GitHub etc.)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Hands-on experience with Docker and Kubernetes (EKS)
• Solid understanding of Linux, networking, and cloud security
• Experience with monitoring, logging, and alerting systems
• Strong troubleshooting and automation skills

Bonus Points

•  AWS Config, CloudTrail, GuardDuty
• Observability tools (Corologix, ELK, Datadog)
• GitOps tools (ArgoCD, Flux)
• Scripting skills in Python, Go, or Bash
• Exposure to FinOps practices
• AWS Certified Solutions Architect – Associate or Professional

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward together.

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Position Summary:

We are seeking a Solution Architect – (AI Infrastructure & Hybrid Cloud) to lead the strategic design, architecture, and deployment of large-scale, enterprise-grade Red Hat OpenShift and Kubernetes environments. As a technical authority at the L4 level, you will be responsible for defining the blueprint of our cloud-native infrastructure, ensuring it is secure, scalable, and highly automated.
The ideal candidate acts as the bridge between traditional infrastructure and modern DevOps, serving as the lead design authority for global clients. You will collaborate with Network and Firewall Architects to build a unified fabric where containerized workloads, legacy data centers, and hybrid cloud environments coexist seamlessly through advanced automation and Infrastructure-as-Code (IaC).

Key Responsibilities:

• Architect and Design Enterprise OpenShift Solutions: Lead the high-level design (HLD) and low-level design (LLD) for multi-tenant Red Hat OpenShift and Kubernetes clusters across on-prem and hybrid cloud environments.
• Define the technology stack, standards, and blueprints for deploying AI solutions across global, multi-region public clouds (AWS/Azure/GCP) and diverse on-premise hardware.
• Oversee the successful end-to-end rollout of critical services including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization.
• Drive Network DevOps Strategy: Define and standardize the automation roadmap using Ansible, Terraform, and Python to achieve "Zero-Touch" infrastructure provisioning and configuration.
• Lead Customer & Stakeholder Engagement: Act as the primary technical consultant for global clients, leading design workshops, architecture validation, and executive-level technical reviews.
• Integrate Advanced AI apps, Networking & Security: Collaborate with Pre-sales, AI application developers & Engineers, Firewall Architects to design secure AI agents & use cases, container networking (CNI) models, implementing Zero-Trust security, service mesh (Istio), and micro-segmentation within OpenShift environment.
• Optimize Hybrid Infrastructure: Oversee the seamless integration of OpenShift with physical networking (Cisco ACI, VXLAN) and virtualized platforms (RHEL-V, VMware ESXi).
• GPU & Hardware Orchestration: Design and manage hardware acceleration using the NVIDIA GPU Operator and Node Feature Discovery (NFD). Implement Multi-Instance GPU (MIG) and time-slicing to optimize resource utilization across multi-tenant clusters.
• Establish CI/CD Governance: Architect robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) for infrastructure and application delivery, ensuring compliance and security are baked into the workflow.
• Lead Observability & Reliability: Design comprehensive monitoring and logging architectures using Prometheus, Grafana, and ELK stack to ensure 99.99% availability of cluster services.
• Mentorship & Technical Leadership: Guide and mentor L2/L3 engineers, providing expert-level escalation support and establishing best practices for the DevOps and Network teams.
• Innovation & R&D: Evaluate and introduce emerging technologies such as Advanced Cluster Management (ACM), Advanced Cluster Security (ACS), and Cloud-Native Networking (OVN-Kubernetes).

Basic Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 10+ years of progressive experience in systems architecture, infrastructure engineering, or network DevOps.
• Expert/Architect-level proficiency in OpenShift (RHOS), and Kubernetes architecture in large-scale production environments.
• Experience architecting hybrid-cloud OpenShift solutions involving AWS (ROSA), Azure (ARO), or Google Cloud.
• Proven track record in Automation & IaC: Mastery of Ansible, Terraform, and Git-based workflows to manage complex infrastructures.
• Deep understanding of Linux (RHEL) Internals: Mastery of kernel networking, storage drivers (CSI), and container runtimes (CRI-O).
• Strong Network Background: In-depth knowledge of BGP, VXLAN, and EVPN as they apply to connecting containerized workloads to physical data center fabrics.
• Experience in "Architecture as Code": Ability to develop and maintain compliance artifacts, design validation reports, and automated documentation.
• Excellent Leadership Skills: Demonstrated ability to manage high-stakes customer relationships and lead cross-functional technical teams

Preferred Qualifications:

• Certifications: Red Hat Certified Architect (RHCA), Red Hat Certified Specialist in OpenShift (Administration/Development), or CKA/CKS (Certified Kubernetes Administrator/Security), AWS/GCP Certified DevOps Engineer, AWS Certified SysOps Administrator, HashiCorp Certified: Terraform Associate
• Red Hat Certified OpenShift Administrator, AWS Certified AI Practitioner, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP)
• Security Focus: Exposure to DevSecOps tools (e.g., Quay, StackRox) and zero-trust framework implementation
• Legacy Integration: Familiarity with Cisco ACI, Arista CloudVision, or Juniper Apstra for end-to-end automation integration
• Red Hat OpenShift AI (ROAI) expertise will be preferred
• Familiarity with LLM deployment requirements and vector database infrastructure
• Background in Cybersecurity infrastructure (SIEM, SOAR, SOC & VAPT platforms)
• Experience with MLOps infrastructure (Kubeflow, MLflow) and high-speed telemetry pipelines

About the Role

We are seeking an experienced Infrastructure Security Engineer to work on the security of our production and non-production engineering systems. This is a critical  role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC.
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 2–5 years of experience in infrastructure security or related fields.
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

About the Role

We are seeking an experienced Engineering Infrastructure Security Manager to lead the security of our production and non-production engineering systems. This is a critical leadership role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security, strong leadership capabilities, and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Team Leadership & Collaboration

• Build, mentor, and manage a high-performing team of security engineers
• Drive a “security as code” culture across engineering teams
• Collaborate with platform, SRE, and development teams to embed security into SDLC
• Provide training and guidance on secure infrastructure practices
• Foster a culture of security awareness and proactive risk reporting

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC (must-have)
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 8–12 years of experience in infrastructure security or related fields, with 3+ years in a leadership role
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Leadership & Collaboration

• Proven experience building and managing high-performing security teams
• Experience driving cross-functional initiatives across engineering, operations, and product teams
• Strong project management and execution skills
• Ability to mentor and grow security talent

Communication & Strategic Thinking

• Strong communication skills with ability to explain complex concepts to technical and non-technical stakeholders
• Experience presenting security strategies and risk insights to leadership
• Ability to translate business needs into security solutions
• Strong documentation and process definition skills

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

About Yugabyte

At Yugabyte, we are on a mission to become the default transactional database for enterprises building cloud-native applications. Our flagship product, YugabyteDB, is a PostgreSQL-compatible distributed database purpose-built for cloud-native workloads. It is resilient, scalable, and flexible—capable of running across any cloud or on-premises infrastructure. With familiar APIs and developer-friendly tools, YugabyteDB empowers developers to be instantly productive.

The transactional database market is projected to reach $64B by 2025, and YugabyteDB’s cloud-native design, horizontal scalability, and geo-distribution capabilities position us perfectly to meet this demand. Many of the world’s leading enterprises are migrating from legacy RDBMSs (Oracle, SQL Server, DB2) to YugabyteDB to power their mission-critical applications.

Join the Database Revolution at Yugabyte!

Role Overview

We are looking for a seasoned DevOps Engineer who is passionate about building scalable infrastructure while maintaining a relentless focus on cloud unit economics. You will lead our FinOps initiatives, ensuring our cloud footprint (AWS/GCP/Azure) is high-performing, secure, and cost-efficient.

Key Responsibilities

• Infrastructure Ownership: Lead the design and management of cloud infrastructure using IaC (Terraform/Pulumi), ensuring cost-efficiency is baked into the architecture from day one.
• FinOps Leadership: Establish and drive cloud cost-optimization strategies, including rightsization, lifecycle management, and committed use discounts (RIs/Savings Plans).
• Cost Visibility & Reporting: Build automated dashboards (using tools like CloudHealth, Kubecost, or native Quicksight/Looker) to provide granular visibility into spend by department, project, or microservice.
• CI/CD Optimization: Maintain and evolve CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions) with a focus on reducing "build waste" and optimizing ephemeral environment costs.
• Anomaly Detection: Implement automated alerting for cost spikes and unexpected resource utilization to prevent "cloud bill shock."
• Collaboration: Work closely with Finance and Engineering leadership to set cloud budgets, track KPIs (like cost per transaction), and advocate for a "cost-conscious" engineering culture.
• Observability: Manage full-stack monitoring (Prometheus, Grafana, ELK) to correlate performance metrics with cost data.

Qualifications

• Experience: 5+ years of professional experience in DevOps, SRE, or Cloud Engineering.
• Cloud Expertise: Deep hands-on experience with AWS , GCP, or Azure. Professional-level certifications are a plus.
• FinOps Proficiency: Proven track record of reducing cloud spend without compromising performance. Familiarity with the FinOps Framework (Inform, Optimize, Operate).
• Automation: Advanced scripting skills in Python or Go for automating cost-saving tasks (e.g., auto-stopping dev environments, identifying orphaned volumes).
• Containerization: Strong experience with Kubernetes (EKS/GKE) and knowledge of how to optimize k8s resource requests/limits.
• Analytical Mindset: Ability to translate complex cloud billing data into actionable business insights.
• Communication: Strong ability to influence engineering teams to adopt cost-saving best practices.

Equal Employment Opportunity Statement

Yugabyte is an equal opportunity employer committed to building a diverse and inclusive workforce. Employment decisions are made without regard to race, color, religion, national origin, gender, age, sexual orientation, disability, gender identity or expression, veteran status, or any other protected characteristic under applicable laws.

LivePerson (NASDAQ: LPSN) is a leading customer engagement company, creating digital experiences powered by Curiously Human AI. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

You'll be successful at LivePerson if you are excited to build something from the ground up. You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business. Likewise, you're someone who sees feedback as a chance to learn and grow and believe decisions powered by data are the norm. You care about the well-being of others and yourself.

Job Description: Site Reliability Engineer (Platform Engineer) Mid Level (L2) 

Location: India (Remote- Bangalore)

Overview:

We are seeking a Mid-Level Site Reliability Engineer (SRE) to join our global Platform Engineering team. As an SRE, your primary responsibility is to ensure that our platform is reliable, scalable, and performant. You’ll be the bridge between development and operations — designing automation, improving observability, and maintaining the health of our production systems. You should have what it takes to ask the right questions, identify potential risks early, and raise flags when necessary to maintain a culture of reliability and continuous improvement.

You will: 

• Collaborate closely with Developers, QA, and Product teams during sprint planning to understand release plans, dependencies, and infrastructure requirements.
• Participate in the application release cycle, ensuring deployments are automated, consistent, and reliable.
• Manage and operate Kubernetes clusters in Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS).
• Develop and manage Terraform modules for provisioning and configuring cloud infrastructure across GCP and AWS.
• Standardize service deployments using Helm for templating and versioned releases.
• Build and enhance observability with Prometheus, Grafana, and Datadog to monitor application and platform performance.
• Design, implement, and maintain GitLab CI/CD pipelines for build, test, and deployment automation.
• Drive an automation-first culture by developing scripts and tooling in Python, Go, or Shell to minimize manual effort and improve efficiency.
• Participate in a 24/7 on-call rotation, ensuring quick detection, mitigation, and resolution of incidents.
• Perform root cause analysis (RCA) and contribute to post-incident reviews to prevent recurrence.
• Proactively identify reliability or scalability gaps, raise early warnings, and partner with teams to address systemic risks.

You have: 

• 5-8 years of experience as a Site Reliability Engineer, Platform Engineer, or DevOps Engineer.
• Hands-on experience managing Kubernetes clusters (GKE, EKS) in GCP and AWS.
• Strong knowledge of Terraform, Helm, and GitLab CI/CD pipelines.
• Proficiency in Python, Go, or Shell scripting for automation and tooling.
• Experience implementing and managing observability stacks (Prometheus, Grafana, Datadog).
• Deep understanding of Linux systems, cloud networking, and container orchestration concepts.
• Experience working in Agile/Scrum environments and partnering closely with developers.
• Excellent analytical skills with a proactive attitude — able to question assumptions and escalate potential risks early.

Good to Have

• Experience with ArgoCD or Flux (GitOps-based workflows).
• Familiarity with service mesh (Istio, Linkerd) or API gateways.
• Knowledge of cloud cost optimization, autoscaling, or security best practices.
• Experience with incident management tools such as PagerDuty, ServiceNOW

Why Join Us

• Build and operate modern cloud-native platforms using Kubernetes, Terraform, GitLab, Datadog, and Grafana.
• Be part of a global SRE team that values automation, reliability, and innovation.
• Work in a collaborative culture that encourages ownership, learning, and continuous improvement.
• Enjoy flexible working arrangements, competitive compensation, and career growth opportunities including certifications and mentorship.

Why you’ll love working here: 

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. 

• Benefits: 15 Days PTO + Casual & Sick Leave
• Insurance: 8 Lakhs Family Floater Coverage; Personal Accident & Life Insurance: 3x of Gross Annual Salary*

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information.  This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address.

LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

DevSecOps Lead

Job Summary:

We are seeking a highly skilled and experienced DevSecOps Architect/Lead to lead the architecture, deployment, and configuration of DevSecOps solutions across hybrid and multi-cloud environments. The ideal candidate will have hands-on expertise in designing and implementing DevSecOps CI/CD solutions for automating end-to-end Delivery pipeline.

Experince Level:  9 to 12 ( Relevant years ) 

Key Responsibilities:

• Architect enterprise-grade DevSecOps solutions inline with industry standards
• Lead the discovery of CI/CD and IaC  and develop the blueprints for target architecture
• Lead the Assessment of the current state DevSecOps maturity and align to industry maturity models
• Must be able to design and architect the DevSecOps ecosystem from scratch
• Develop ways of working for Continuous Integration and Continuous Delivery with automated DevSecOps platforms
• Must have hands-on deep expertise in setting up CI/CD pipelines, IaC for Infrastructure provisioning, Security and Quality integrations in the pipeline with GitHub actions workflows.
• Design and implement end to end CI/CD pipelines with quality and security integration
• Design the CI/CD and IaC infrastructure and create standardized blueprints and reusable components
• Implement SAST, DAST, SCA tools and integrate in the CI/CD pipeline
• Good understanding of Azure Kubernetes and AWS Kubernetes
• Work closely with the customer Application teams and Infrastructure teams
• Implement reusable pipeline and IaC templates for infrastructure provisioning and integrate with the CI/CD pipelines
• Lead the onboarding of applications on the Core DevSecOps platform
• Understanding of GitOps practices using ArgoCD
• Develop Golden paths for Pipeline and IaC
• Create target architecture for enabling DevSecOps for applications and infrastructure
• Work with Observability team for DevSecOps integration with AIOps platform
• Design and build dashboards for end-to-end value stream visibility
• Implement identity, RBAC, and security controls for DevSecOps tools
• Create runbooks and SOP for application onboarding
• Develop wave plans for Enterprise rollout of the DevSecOps platform and practices.
• Good to have experience setting up DevSecOps Community of Practice and Centre of Excellence.

Required Skills & Qualifications:

• Proven hands-on experience with multiple CI/CD platforms like GitHub actions (primary), Azure DevSecOps, GitLab environments.
• Proven experience with GitHub Enterprise Server, JFrog Artifactory/Xray, Black Duck, and Open Source Libraries.
• Experience with Developer Toolchains (Ansible, Docker, Maven, Node, Python, Gulp, React, NuGet, Java/JDK/JRE)
• Strong knowledge of Azure, AWS, and GCP cloud infrastructure.
• Experience with integration of security (SAST, DAST, SCA) tools like Black Duck, Trivy, Synk, SonarQube, Veracode, Fortify in the pipeline
• Strong in IaC tools like Terraform or infrastructure provisioning (VMs, AKS, containers).
• Experience with application onboarding at scale on the DevSecOps platform
• Familiarity configuration management tools like Ansible for Infrastructure configurations.
• Familiarity with GitOps tools like ArgoCD
• Strong analytical skills and understanding of DevSecOps practices.
• Excellent communication and documentation skills.
• Experience working with Application teams to develop the target state DevSecOps architecture 

Overview

As a Staff Engineer at Five9, you will work on core backend services that power our global cloud contact center platform. You will tackle complex engineering challenges at scale, remain deeply involved in coding, and contribute to a culture that values craftsmanship, innovation, and technical excellence—while mentoring others and shaping best practices.

What You’ll Do

• Design, develop, and optimize high-performance microservices using Java and Spring Boot
• Write clean, maintainable, and testable code with a strong focus on scalability, reliability, and performance
• Take ownership of services end-to-end — from design and implementation to deployment, monitoring, and ongoing operations
• Collaborate with architects and senior engineers on system design, technical reviews, and problem-solving
• Ensure services meet SLAs, performance metrics, and security standards
• Contribute to improving CI/CD pipelines, automation, and observability to reduce manual effort and improve service reliability
• Provide technical guidance and mentorship to mid-level and junior engineers through code reviews, pairing, and knowledge sharing
• Stay current with evolving technologies and help evaluate and adopt tools that strengthen our platform

What You Bring

• Strong debugging and problem-solving skills, with the ability to dive deep into complex production issues
• 7–10 years of development experience in Java microservices
• Deep expertise in Java, with strong experience in Spring / Spring Boot
• Proven ability to build and operate distributed, cloud-native microservices at scale
• Strong experience with GCP services (GKE, Pub/Sub, BigQuery, CockroachDB, Redis)
• Experience with Kubernetes, containerization, and CI/CD pipelines (GitLab or similar)
• Practical knowledge of SQL and NoSQL databases and caching strategies
• Solid understanding of system design, data structures, algorithms, and performance optimization
• Understanding of product architecture
• Comfortable leveraging agentic coding tools and AI-assisted development environments to enhance productivity and code quality

Nice to Have

• Experience in latency-sensitive, high-throughput systems
• Familiarity with Looker, analytics pipelines, and large-scale reporting systems
• Familiarity with Agile methodologies, JIRA, Confluence, and end-to-end testing practices
• Exposure to frontend technologies such as React and TypeScript

Technology & Tools

• Languages & Frameworks: Java, Spring, Spring Boot
• Cloud & Infrastructure: GCP (GKE, Pub/Sub, BigQuery, CockroachDB, Redis), Kubernetes
• DevOps & CI/CD: Git, GitLab CI/CD
• Collaboration & Documentation: Swagger, JIRA, Confluence

Role Summary

We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.

Key Responsibilities

1  Model Design & Training

• Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
• Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
• Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
• Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
• Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.

2  Model Evaluation & Quality

• Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
• Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
• Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
• Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.

3  MLOps & Deployment

• Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
• Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
• Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
• Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.

4  Research & Innovation

• Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
• Contribute to internal knowledge sharing, technical documentation, and model cards.
• Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
• Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.

5  Collaboration & Stakeholder Management

• Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
• Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
• Participate in architecture reviews, sprint planning, and cross-functional design discussions.

Required Qualifications

1  Education

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
• Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.

2  Experience

• 4 – 6 years of professional experience in machine learning or NLP engineering.
• Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
• Demonstrable experience taking a model from dataset preparation through to production deployment.

3  Technical Skills — Core

• Programming: Python (proficient); familiarity with C++/CUDA a plus.
• Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
• NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
• Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
• Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
• Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
• Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
• Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.

4  Technical Skills — Nice to Have

• Experience with multimodal models or vision-language models (VLMs).
• Knowledge of model safety, alignment techniques, and responsible AI frameworks.
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.

Behavioural Competencies

• Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
• Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
• Ownership: Takes full accountability for model quality, timelines, and production reliability.
• Collaboration: Works effectively in cross-functional teams with diverse skill sets.
• Communication: Distils complex technical concepts for diverse audiences.
• Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day :

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team :

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 5+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

An overview of this role

GitLab is seeking a Principal Engineer to set technical direction for our most critical infrastructure platforms. This role operates at organizational scale, owning architecture, solving complex systems problems, and driving initiatives that shape how GitLab grows, performs, and remains reliable.

As a Principal Engineer, you will serve as a technical authority and force multiplier, leading architectural decisions across distributed and cloud-native systems to translate business strategy into durable technical direction. Spanning multiple teams and domains, you will bring clarity to ambiguity, raise engineering standards, and mentor senior talent while remaining accountable for real production outcomes. This is a hands-on, high-impact role for leaders who drive success through influence and shape the foundational platforms that the entire organization depends on.

Organizational Focus Areas

Principal Engineers at GitLab drive strategy across our most critical infrastructure and delivery groups. Role placement across the following tracks is determined by business need and organizational priority.

Group Tenant Scale (GTS)

This track builds GitLab’s next generation, multi-tenant, horizontally scalable, and resilient SaaS platform. You will architect the foundations that enable other engineering teams to build upon this platform and drive convergence among GitLab’s various platforms..

• Core Focus: Lead the design and evolution of projects that enable our distributed, multi-tenant SaaS transformation, including Cells, Organizations, and OrgMover.
• Distributed Architecture: Architect for zero downtime, transparent relocation, and application hardening in a massive distributed environment.
• Strategic Decisions: Guide architecture decisions with availability, reliability, resiliency, performance, and cost in mind.

GitLab Delivery 

The GitLab Delivery track focuses on enhancing the reliability, efficiency, and speed of GitLab’s end-to-end software delivery across all platforms and offerings.

• Core Focus: Lead the platform strategy spanning Developer Experience, CI infrastructure, packaging, and release delivery across SaaS, Self-Managed, and Dedicated.
• Developer Experience: Treat GitLab engineers as customers, building self-service tooling, testing infrastructure, and paved paths that increase velocity while maintaining quality.
• Delivery at Scale: Architect reliable, automated pipelines that streamline how GitLab is packaged, released, and deployed across all platforms and offerings.

What You'll Do

• Own and drive the architectural direction for critical infrastructure platforms that support GitLab at global scale.
• Lead the design and evolution of large platforms and distributed systems that are scalable, resilient, secure, and cost-efficient.
• Serve as the technical authority on complex initiatives, guiding decisions that impact multiple teams and product areas.
• Translate business and product strategy into long-term technical roadmaps and execution plans.
• Drive alignment across engineering, product, and leadership by clearly communicating tradeoffs and recommendations.
• Establish technical standards and architectural patterns that raise quality and consistency across the organization.
• Be accountable for production outcomes, including reliability, performance, and operational excellence.
• Mentor senior engineers and act as a force multiplier through influence rather than direct authority.
• Operate effectively in ambiguous problem spaces where both the problem and the solution need to be defined.

What You'll Bring

• Proven experience designing and evolving large-scale platforms or distributed systems in cloud-native environments.
• Strong proficiency in Golang and/or Ruby, with the ability to contribute to, review, and guide core architectural changes in production codebases.
• Strong architectural judgment, including the ability to balance scalability, reliability, performance, security, and cost.
• Experience owning platform-level technical decisions that impacted multiple teams or an entire engineering domain.
• Solid understanding of Kubernetes-based environments as a production platform, including how they influence system design, deployment models, reliability, and operational complexity.
• Experience being accountable for production systems, not just design recommendations.
• Ability to author and drive long-term technical strategy and multi-month roadmaps.
• Track record of leading through influence and shaping technical direction without direct authority.
• Comfort making high-impact technical decisions, including build vs buy vs partner tradeoffs.
• Strong communication skills, with the ability to explain complex technical concepts to engineers, leadership, and non-technical stakeholders.

About the team

The Principal Engineer role sits within GitLab’s Infrastructure Platforms organization, working across multiple teams to shape how our platform scales and operates. This group is responsible for some of GitLab’s most critical systems, including the multi-tenant SaaS platform, core delivery pipelines, and the underlying infrastructure that powers millions of users. As a Principal Engineer, you’ll define technical direction, guide architectural decisions, and ensure our platforms remain resilient, performant, and modern. The team operates fully remotely and collaborates asynchronously across time zones, grounded in GitLab’s values of transparency, autonomy, and open communication. You’ll help the organization tackle complex distributed systems challenges at scale while mentoring other engineers and building a culture focused on reliability, efficiency, and continuous improvement.

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

Curious about what makes Moniepoint an incredible place to work?
Check out posts on how we cultivate a culture of innovation, teamwork, and growth.. 

About the role

We are seeking a highly skilled Lead Testing Tools Development Engineer to design, develop, and maintain advanced testing frameworks and automation tools. This role focuses on building scalable, reusable, and integrated testing infrastructure that supports functional, performance, and security testing across diverse platforms and environments.
.

What you’ll get to do

Tool Development & Framework Design:

• Design & implement custom test automation frameworks for functional, performance, and security testing
• Develop reusable libraries, plugins, and CLI tools to support test execution, reporting, and integration with CI/CD pipelines
• Build scalable test harnesses for distributed systems, microservices, mobile native and cloud SaaS applications.

Automation & Scripting:

• Write robust, maintainable code in Java, JavaScript/TypeScript to automate test workflows.
• Integrate tools with version control systems (Git), CI/CD platforms (Jenkins, Harness), and artifact repositories

DevOps & Infrastructure Integration:

• Containerize tools using Docker and orchestrate test environments using Kubernetes
• Implement observability into test tools using New Relic, Grafana, ELK Stack

Collaboration & Enablement:

• Partner with QE, SRE/DevOps, and development teams to understand testing pain points and deliver tooling solutions.
• Provide governance model, documentation, training, and support to enable teams to adopt and extend testing tools effectively.

Innovation & Continuous Improvement:

• Evaluate and adopt emerging technologies in the testing ecosystem.
• Contribute to internal best practices for test automation, tool development, & quality engineering.
• Familiarity with AI/ML-based test generation or test impact analysis.
• Background in developer experience (DevEx) or internal platform engineering
  
  

To succeed in this role, we think you should have

• 12+ years of experience in Quality Engineering and Tools development or similar role.
• Bachelor’s degree in computer science or a related engineering discipline.
• Strong programming skills in Java with a focus on tooling and automation.
• Proficiency in extending and customizing open-source tools such as.
  • Functional/UI Testing: Selenium, Playwright, Cypress, Appium
  • API Testing: Postman/Bruno, REST Assured, Karate
  • Performance Testing: JMeter, K6, Gatling, Locust
  • Security Testing: OWASP ZAP, Burp Suite, Nmap, Nessus
• Experience Integrating testing tools with
  • Test Management & Issue Tracking: Jira, Qmetry
  • Reporting & Analytics: ReportPortal, Allure, ExtentReports, Grafana
  • CI/CD Pipelines: Jenkins, Harness, ArgoCD, GitLab, SonarQube
  • Device Farms: BrowserStack, LambdaTest for cross-platform and mobile testing
• Experience with test data management, mocking frameworks, and service virtualization tools such as WireMock, Hoverfly, or Mockito
• Strong command of relational (SQL) and non-relational (NoSQL) databases, along with experience in publish-subscribe messaging systems like Kafka.
• Solid understanding of RESTful APIs, gRPC, WebSockets, & event-driven or asynchronous architectures
• Hands-on experience with leading cloud platforms - Google Cloud Platform (GCP), and expertise in Kubernetes for container orchestration.
• Proficient in working within Linux/Unix-based environments, including shell scripting and system-level debugging.
• Well-versed in Agile/Scrum/Kanban methodologies, with a focus on iterative development and continuous delivery.
• Demonstrated ability in problem-solving, root cause analysis, and debugging complex systems across the stack.
• Excellent communication and collaboration skills, with a proven track record of working effectively in cross-functional teams.

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary call with the recruiter
• A call with the Hiring Manager
• A technical Interview with members of the Engineering Team 
• A technical Interview with a members of the QA Team
• A behavioral and technical interview with a member of the Executive team. 
• All Interview stages are Virtual

Moniepoint is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Job Summary

Five9 is seeking an experienced and passionate hands-on Test Automation Manager to lead a talented team of test engineers in India. The ideal candidate will be a strong technical leader with a proven track record in both people management and the design and implementation of cutting-edge test automation frameworks. You will be responsible for mentoring your team, ensuring the quality of our production systems, and driving the adoption of innovative practices, including AI-powered testing solutions.

Key Responsibilities

• Team Leadership & Mentoring:
  • Lead, mentor, and manage a team of 5-8 test automation engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
  • Conduct regular performance reviews, provide constructive feedback, and support the career development of your team members.
• Production Support:
  • Participate in an on-call roster to provide critical support for production systems during the India time zone, ensuring system stability and reliability.
  • Lead the team in troubleshooting and resolving production issues in a timely and efficient manner and acting as point of contact for escalations in India.
• Test Automation Strategy & Development:
  • Lead the design, development, and maintenance of robust and scalable test automation frameworks and practices.
  • Drive the strategy for various testing disciplines, including functional, regression, performance, and API testing.
  • Stay current with industry trends and champion the adoption of new tools and technologies to enhance testing efficiency.
• Innovation & AI Adoption:
  • Act as a key driver for innovation within the test automation group.
  • Explore, evaluate, and implement AI-powered tools and methodologies to accelerate testing cycles, improve test coverage, and enhance overall product quality.

Required Qualifications & Skills

• 8-15 years of experience in software development lifecycle involving development, testing strategy, DevOps practices with at least 3-5 years in a management or leadership role.
• People Management: Demonstrated experience in managing and mentoring engineering teams.
• Technical Expertise:
  • Strong hands-on experience with test automation frameworks and tools (e.g., Selenium, Cypress, Playwright).
  • Proficiency in at least one programming language such as Java or Python.
  • Experience with CI/CD pipelines and tools (e.g., GitLab CI, Jenkins).
  • Solid understanding of software development life cycles and agile methodologies.
• Production Support: Proven experience in a production support or on-call role for mission-critical systems.
• Excellent communication and interpersonal skills.
• Experience with cloud platforms with at least one (e.g., GCP, AWS, Azure)
• Knowledge of containerization technologies like Docker.
• Knowledge of scripting technology such as BASH, PowerShell.

Preferred Qualifications

• Experience working with cloud platforms (e.g., GCP, AWS, Azure).
• Knowledge of Kubernetes.
• A keen interest and/or hands-on experience with AI in software testing.

An overview of this role

As a Backend Engineer on the Secret Detection team, you'll help protect sensitive data by building the services, scanning workflows, and remediation paths that prevent leaked secrets from reaching production. Your work will contribute to the full secret management lifecycle, from push protection to pipeline-based scanning, validation, and auditability, so developers can move quickly without taking on avoidable security risk. This is a strong opportunity if you want to work on security features with clear customer impact, improve detection quality, and help teams act when credentials, API keys, or other secrets are exposed.

You'll focus on backend systems that power Secret Detection across GitLab's DevSecOps platform, working closely with product management and engineering peers in an async-first environment. In your first year, you'll contribute to core product capabilities, improve performance and result quality, and help shape technical direction through code reviews, RFCs, and proof of concepts.

Some examples of our projects:

• Prevent secret leaks in source code with GitLab Secret Push Protection
• Verify validity of secret detection findings

What you’ll do

• Guide the design and implementation of backend features for GitLab Secret Detection in Ruby on Rails, GraphQL, and Go, delivering capabilities that improve coverage, reliability, or response time for secret detection workflows.
• Build clean, well-tested, maintainable code that meets GitLab standards for reliability and performance, helping reduce regressions and maintain backend systems at scale.
• Partner with product management and engineering peers to deliver backend capabilities that improve detection, validation, remediation, and audit trail coverage across the secret management lifecycle.
• Improve detection quality by reducing false positives, strengthening secret validation workflows, and enabling faster, more effective remediation paths.
• Contribute to code reviews, RFCs, and proof-of-concept work that guide technical approaches across the Secret Detection category.
• Identify technical debt and operational inefficiencies, then propose and implement practical improvements.
• Diagnose performance and optimization issues in backend systems and implement improvements that increase efficiency, scalability, and service reliability.
• Work effectively in a globally distributed, async-first team while participating in planning, engineering discussions, and pairing when needed.

What you’ll bring

• Experience building backend applications and services using Ruby on Rails, with working knowledge of GraphQL and interest in backend-focused product development.
• Experience designing and delivering secure, maintainable systems that power production web applications at scale.
• Knowledge of security concepts, common vulnerabilities, mitigation techniques, and secure coding practices.
• Background developing or working with security tools or products, especially in areas related to code scanning or secret detection.
• Experience investigating performance issues and improving backend reliability, efficiency, and maintainability.
• Ability to work closely with cross-functional partners, including product, design, and technical writing, to deliver useful product outcomes.
• Communicate clearly in writing and in conversation, especially in remote, async-first environments with distributed teams.
• Bring transferable experience and a willingness to grow into parts of the security or Go stack.

About the team

The Secret Detection team owns GitLab's Secret Detection category, and we build the backend systems and related user workflows that help developers identify and mitigate exposed secrets as code is contributed. We work with the broader security product suite while maintaining focused investment in secret scanning quality, validation, remediation, and developer experience. Our work spans Rails and Go services, and we work primarily asynchronously across time zones as a globally distributed team. Current opportunities include expanding coverage across the secret management lifecycle and improving result quality across the findings our tools detect. For more on how we work, see the Team Handbook page.

The salary range for this role is $5,000 - $9,500 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 6+ years of experience, the compensation range is $5,000 - $9,500 USD based on experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a hands-on, high-impact Senior Security Infrastructure Engineer to help strengthen Sezzle’s security posture across cloud infrastructure, applications, and developer workflows. This role is ideal for someone who thrives in a fast-paced environment and wants to work on real-world security problems at scale.

As a Senior Security Infrastructure Engineer, you will have a high degree of ownership and autonomy to identify risks, investigate issues, and drive meaningful security improvements across our systems. You will work across vulnerability management, detection engineering, supply chain security, and incident response - partnering closely with engineering teams to ensure security is practical, effective, and embedded into how we build and operate systems. You should consider yourself a DOer - someone who is comfortable diving into logs, analyzing systems, validating findings, and working end-to-end to get issues resolved. We value engineers who bring strong technical depth, good judgment, and the ability to turn security insights into actionable outcomes.

This role offers the opportunity to shape and scale security capabilities, including detection systems, supply chain risk controls, and security automation. With the support of modern tooling (including AI where appropriate), you will play a key role in improving efficiency, visibility, and resilience across the organization. This role combines hands-on security operations with exploratory and design work. You will spend significant time investigating and resolving real-world issues, while also researching, evaluating, and building new security capabilities across areas like detection, supply chain security, and data protection.

What You’ll Do: 

• Lead and operate vulnerability management across infrastructure, platforms, and applications - including internal scans, dependency analysis, and external findings, validating true positives and driving remediation with engineering teams
• Build, operate, and mature SIEM/XDR capabilities, including log ingestion, detection rule development, alert tuning, and investigation workflows
• Investigate and respond to security incidents across cloud infrastructure and applications, performing root cause analysis and driving long-term fixes
• Design and implement detection strategies for suspicious activity, including data exfiltration patterns using application and database telemetry
• Lead and contribute to threat modeling exercises and security design reviews to identify risks early and strengthen architecture
• Apply deep expertise in AWS and Kubernetes to design, secure, and improve resilient and secure cloud infrastructure at scale
• Drive infrastructure and CI/CD hardening initiatives, with a focus on reducing software and container supply chain risk
• Lead efforts to implement and improve dependency and container supply chain risk detection systems and controls
• Partner closely with engineering teams to remediate vulnerabilities and improve secure development and deployment practices
• Support and implement security controls aligned with PCI DSS, SOC 2, and other compliance requirements
• Develop and implement automation (including AI where appropriate) to improve efficiency in security operations, detection, and response
• Triage and validate external security findings, distinguishing true positives and coordinating remediation

What We Look For: 

• 6+ years of experience in security, software, or infrastructure engineering, with hands-on experience securing cloud-based production systems and working with real-world security challenges
• Experience contributing to threat modeling and security design reviews for modern systems
• Strong hands-on experience in vulnerability management, including scanning, triage, validation, remediation coordination, and verification
• Experience working with SIEM platforms (e.g., Wazuh, Splunk, ELK) for detection engineering, monitoring, and incident response
• Practical experience triaging findings from vulnerability scanners and bug bounty programs
• Strong knowledge of AWS, Linux, and Kubernetes infrastructure, including security architecture, hardening, and operational best practices
• Experience improving infrastructure security, including CI/CD hardening and mitigating software supply chain risks
• Experience with container and dependency security tools (e.g., Snyk, Trivy, Grype, etc.)
• Ability to investigate issues directly using logs, cloud tooling, and system-level data
• Knowledge of common security vulnerabilities and mitigation strategies (OWASP, SANS, etc.)
• Working knowledge of compliance frameworks such as PCI DSS and SOC 2

Preferred Knowledge and Skills:

• Experience designing and tuning detection rules, reducing alert noise, and improving investigation workflows
• Strong understanding of cloud-native security controls, including IAM, network segmentation, and container security
• Familiarity with log-based detection, telemetry pipelines, and security analytics use cases
• Experience designing secure CI/CD workflows that reduce exposure to vulnerable dependencies and untrusted artifacts
• Ability to assess application and infrastructure risk and translate findings into actionable improvements
• Experience aligning technical security work with regulatory and compliance expectations
• Experience using automation and AI to reduce manual effort and improve consistency at scale

About You: 

• You think proactively about security and work to address risk early through clear design feedback and practical engineering solutions
• You bring strong cloud and infrastructure judgment, especially in AWS and Kubernetes environments
• You raise the bar on hardening and operational discipline, especially in CI/CD and supply chain security practices
• You approach security monitoring with an investigator’s mindset and can turn telemetry into meaningful detection and response outcomes
• You are excited to use automation and emerging technologies (including AI) to automate repetitive security work and improve team effectiveness
• You balance strong security standards with business needs and can support privacy and compliance requirements in a practical, scalable way
• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

The salary range for this role is $5,000 - $9,500 per month (Gross in USD)

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 6+ years of experience, the compensation range is $5,000 - $9,500 USD based on experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a hands-on, high-impact Senior Security Infrastructure Engineer to help strengthen Sezzle’s security posture across cloud infrastructure, applications, and developer workflows. This role is ideal for someone who thrives in a fast-paced environment and wants to work on real-world security problems at scale.

As a Senior Security Infrastructure Engineer, you will have a high degree of ownership and autonomy to identify risks, investigate issues, and drive meaningful security improvements across our systems. You will work across vulnerability management, detection engineering, supply chain security, and incident response - partnering closely with engineering teams to ensure security is practical, effective, and embedded into how we build and operate systems. You should consider yourself a DOer - someone who is comfortable diving into logs, analyzing systems, validating findings, and working end-to-end to get issues resolved. We value engineers who bring strong technical depth, good judgment, and the ability to turn security insights into actionable outcomes.

This role offers the opportunity to shape and scale security capabilities, including detection systems, supply chain risk controls, and security automation. With the support of modern tooling (including AI where appropriate), you will play a key role in improving efficiency, visibility, and resilience across the organization. This role combines hands-on security operations with exploratory and design work. You will spend significant time investigating and resolving real-world issues, while also researching, evaluating, and building new security capabilities across areas like detection, supply chain security, and data protection.

What You’ll Do: 

• Lead and operate vulnerability management across infrastructure, platforms, and applications - including internal scans, dependency analysis, and external findings, validating true positives and driving remediation with engineering teams
• Build, operate, and mature SIEM/XDR capabilities, including log ingestion, detection rule development, alert tuning, and investigation workflows
• Investigate and respond to security incidents across cloud infrastructure and applications, performing root cause analysis and driving long-term fixes
• Design and implement detection strategies for suspicious activity, including data exfiltration patterns using application and database telemetry
• Lead and contribute to threat modeling exercises and security design reviews to identify risks early and strengthen architecture
• Apply deep expertise in AWS and Kubernetes to design, secure, and improve resilient and secure cloud infrastructure at scale
• Drive infrastructure and CI/CD hardening initiatives, with a focus on reducing software and container supply chain risk
• Lead efforts to implement and improve dependency and container supply chain risk detection systems and controls
• Partner closely with engineering teams to remediate vulnerabilities and improve secure development and deployment practices
• Support and implement security controls aligned with PCI DSS, SOC 2, and other compliance requirements
• Develop and implement automation (including AI where appropriate) to improve efficiency in security operations, detection, and response
• Triage and validate external security findings, distinguishing true positives and coordinating remediation

What We Look For: 

• 6+ years of experience in security, software, or infrastructure engineering, with hands-on experience securing cloud-based production systems and working with real-world security challenges
• Experience contributing to threat modeling and security design reviews for modern systems
• Strong hands-on experience in vulnerability management, including scanning, triage, validation, remediation coordination, and verification
• Experience working with SIEM platforms (e.g., Wazuh, Splunk, ELK) for detection engineering, monitoring, and incident response
• Practical experience triaging findings from vulnerability scanners and bug bounty programs
• Strong knowledge of AWS, Linux, and Kubernetes infrastructure, including security architecture, hardening, and operational best practices
• Experience improving infrastructure security, including CI/CD hardening and mitigating software supply chain risks
• Experience with container and dependency security tools (e.g., Snyk, Trivy, Grype, etc.)
• Ability to investigate issues directly using logs, cloud tooling, and system-level data
• Knowledge of common security vulnerabilities and mitigation strategies (OWASP, SANS, etc.)
• Working knowledge of compliance frameworks such as PCI DSS and SOC 2

Preferred Knowledge and Skills:

• Experience designing and tuning detection rules, reducing alert noise, and improving investigation workflows
• Strong understanding of cloud-native security controls, including IAM, network segmentation, and container security
• Familiarity with log-based detection, telemetry pipelines, and security analytics use cases
• Experience designing secure CI/CD workflows that reduce exposure to vulnerable dependencies and untrusted artifacts
• Ability to assess application and infrastructure risk and translate findings into actionable improvements
• Experience aligning technical security work with regulatory and compliance expectations
• Experience using automation and AI to reduce manual effort and improve consistency at scale

About You: 

• You think proactively about security and work to address risk early through clear design feedback and practical engineering solutions
• You bring strong cloud and infrastructure judgment, especially in AWS and Kubernetes environments
• You raise the bar on hardening and operational discipline, especially in CI/CD and supply chain security practices
• You approach security monitoring with an investigator’s mindset and can turn telemetry into meaningful detection and response outcomes
• You are excited to use automation and emerging technologies (including AI) to automate repetitive security work and improve team effectiveness
• You balance strong security standards with business needs and can support privacy and compliance requirements in a practical, scalable way
• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time