Sr. Software Engineer, Observability Job at Dialpad (Bengaluru)

Sr. Manager, Software Engineering (Search)

As a Senior Engineering Manager – Search, you will lead and inspire a talented t...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

3+ years of experience managing engineering teams, with a proven record of developing and scaling backend or search systems
7+ years of total software development experience with cloud-native SaaS platforms
Strong background in search & recommendation technologies such as Lucene, Solr, Opensearch, Elasticsearch, RAG, or similar frameworks
Deep understanding of enterprise search architecture, schema design, and relevance tuning
Proven success building REST APIs, distributed systems, and integrating services using AWS or similar cloud platforms
Experience with object-oriented and functional programming languages, such as JavaScript/TypeScript, Python, or Ruby
Familiarity with machine learning and AI concepts for ranking, personalization, or content recommendations
Track record of attracting and developing diverse talent, fostering a collaborative and inclusive culture
Strong leadership, communication, and stakeholder management skills able to balance technical depth with strategic decision-making

Job Responsibility

Lead, mentor, and grow a team of search and backend engineers focused on high-impact, scalable search solutions
Own the technical vision for search architecture combining traditional and vector based, including relevance, ranking models, and distributed indexing systems
Drive execution excellence — set goals, manage delivery timelines, and ensure consistent progress against engineering objectives
Collaborate with Product and Data Science to translate customer and business needs into measurable search and content recommendation improvements
Optimize and scale our enterprise search stack (Lucene, Solr, ZooKeeper, or similar technologies) to support massive data volumes
Oversee the design and delivery of highly available distributed services and RESTful APIs integrated into Highspot’s platform
Partner with DevOps to ensure reliability, observability, and performance across multiple data centers
Champion AI-driven enhancements to improve personalization, ranking, and search recommendations
Foster a culture of quality, inclusion, and accountability, emphasizing mentorship, continuous learning, and technical excellence
Partner cross-functionally to ensure alignment between platform strategy and product outcomes, including stakeholder communication and risk management

Fulltime

Sr Software Engineer

The Sr Software (Java) Developer is responsible for establishing and implementin...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of strong hands-on experience in coding (Java)
deep expertise in system design and microservices architecture
experience with trunk-based development, feature flags, and progressive delivery strategies
proficiency in TDD, BDD, and automation-first mindset to ensure high test coverage and reliability
strong understanding of CI/CD pipelines, and DevOps practices
experience conducting code reviews, vulnerability assessments, and secure coding
familiarity with modern cloud-native technologies (AWS, Kubernetes, Docker)
excellent problem-solving skills and ability to work in fast-paced, agile environments
strong communication and collaboration skills

Job Responsibility

design, develop, and maintain robust, scalable, and high-performance applications
implement trunk-based development practices to enable continuous integration and rapid delivery
develop clean, maintainable, and testable code following SOLID principles and software design best practices
ensure high levels of unit test coverage, test-driven development (TDD), and behavior-driven development (BDD)
actively contribute to hands-on coding, code reviews, and refactoring to maintain high engineering standards
drive the adoption of modern engineering ways of working, including Agile, DevOps, and CI/CD
apply Behavior-Driven Development (BDD), Test-Driven Development (TDD), and unit testing to ensure code quality and functionality
collaborate effectively in agile environments, embracing DevOps principles and fostering a culture of continuous delivery and improvement
mentor junior engineers and foster a culture of engineering excellence and continuous learning
partner with architects, product owners, and cross-functional teams to design scalable and distributed systems

Fulltime

Sr Software Development Engineer

As Highspot continues to scale rapidly, building a robust and efficient platform...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

10+ years of experience in software or infrastructure engineering
At least 5 years focused on platform engineering or cloud infrastructure at scale
Proven success designing and operating internal developer platforms in AWS and/or Azure environments
Expert-level experience with Kubernetes, including provisioning, cluster lifecycle management, workload orchestration, and multi-tenant design
Strong expertise in Terraform, GitOps tools (e.g., ArgoCD), and CI/CD systems (e.g., GitHub Actions, Spinnaker)
Deep understanding of cloud networking, IAM, service meshes, and container orchestration at scale
Familiar with the CNCF landscape and how to leverage open-source tools to solve platform problems
Passion for developer experience
Track record of technical leadership, mentoring, and influencing engineering culture at a large scale
Bachelor's or Master’s in Computer Science or related discipline, or equivalent practical experience

Job Responsibility

Design and build scalable platform capabilities that empower engineering teams to ship features reliably, securely, and quickly
Create and maintain developer-facing tools and paved paths (e.g., CI/CD pipelines, Kubernetes platforms, observability stacks, secrets management)
Implement Infrastructure-as-Code and GitOps patterns to promote consistency, automation, and compliance across environments
Collaborate with product, security, and compliance stakeholders to build platform services that meet SLAs and governance standards
Drive efforts to standardize and simplify infrastructure across cloud environments (AWS, Azure), enabling secure multi-cloud operation
Lead incident response, reliability engineering, and observability improvements that ensure platform uptime and performance
Act as a technical mentor and thought leader, guiding teams on infrastructure architecture, platform adoption, and best practices
Define and execute on a strategic roadmap to evolve the internal platform in line with company growth and technology direction

Fulltime

New

Sr. Distinguished Software Engineer (Anti-Money Laundering)

As a Sr. Distinguished Engineer at Capital One, you will be a part of a communit...

Location

United States , McLean; Richmond; New York

Salary:

286200.00 - 392000.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 9 years of experience in Software Engineering and solution architecture
At least 9 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 9 years of experience in Data architecture

Job Responsibility

Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as observability, resiliency, and operational excellence
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Learn the business of our stakeholders and conceive of creative technical solutions that solve for their goals
Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility
Utilize AWS cloud Infrastructure across the entire stack (IaaS primitives to PaaS offerings)
Utilize best practices for modern engineering operations including observability, SLOs, Continuous Deployment, and Incident Management that embrace a 'you build it, you run it' mentality

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

New

Sr Principal Software Engineer

Zuora provides a platform for managing subscription-based businesses, handling b...

Location

India , Bengaluru

Salary:

Not provided

Zuora

Expiration Date

Until further notice

Requirements

BTech/BE in Computer Science, Engineering, or related discipline
16+ years of experience in full-stack development and enterprise-scale architecture
Expert-level experience with Java/Spring, data structures & algorithms, and building large-scale distributed systems
Deep understanding of system design, microservices frameworks (Spring Boot, Dropwizard, etc.), PaaS environments, and modern web/cloud technologies (REST, gRPC, JSON, Protobufs)
Strong background in database design, object modeling, and API ecosystem development
Awareness of trade-offs in architecture (scalability vs. cost, flexibility vs. complexity) to deliver long-term value
Proven ability to design scalable, high-performance platforms supporting millions of users or transactions
Track record of driving architecture roadmaps and influencing technical direction at the org or business-unit level
Ability to influence without authority, guiding multiple engineering teams toward a common vision
Excellent communication and storytelling skills to align executives, PMs, and engineers

Job Responsibility

Architect and deliver secure, reliable, and scalable payment solutions that support core transaction lifecycles end-to-end
Design and evolve payments frameworks, APIs, and flows including checkout forms, hosted payment pages, and payment links that accelerate product development and improve global adoption
Guide system design trade-offs by balancing simplicity, performance, security, compliance, and cost throughout the payment journey
Architect and evolve payment orchestration layers to intelligently route transactions across multiple providers, optimize costs, maximize authorization rates, ensure redundancy, and reduce regional or processor dependencies
Anticipate fintech and regulatory trends to define an architectural vision that ensures competitiveness, compliance, and readiness for future payment innovations
Enable frictionless checkout experiences with embedded forms, localized hosted flows, and customizable links that maximize conversion and minimize abandonment
Support global readiness with diverse payment methods, multicurrency support, localized checkout experiences, and adherence to regional compliance requirements
Partner across Product, Risk, Compliance, and UX to ensure payment architecture aligns with customer needs, regulatory demands, and business growth goals
Provide technical thought leadership by mentoring engineers and architects, raising standards for design and execution in payment systems
Champion engineering excellence through adoption of best practices, observability, metrics-driven improvements, and continuous innovation in payments transaction processing

What we offer

Competitive compensation, corporate bonus program and performance rewards, company equity and retirement programs
Medical insurance
Generous, flexible time off
Paid holidays, “wellness” days and company wide end of year break
6 months fully paid parental leave
Learning & Development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for your mental wellbeing

Fulltime

New

Sr Software Engineering

Microsoft’s Health and Life Sciences (HLS) team is dedicated to empowering healt...

Location

Canada , Vancouver

Salary:

114400.00 - 203900.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Experience with Kubernetes for container orchestration
Strong understanding of distributed systems and cloud-native design principles
Excellent problem-solving skills and ability to work collaboratively in cross-functional teams

Job Responsibility

Collaborate with SREs to design and implement features that improve system reliability, observability, and performance
Develop secure, scalable software components for healthcare applications built on Microsoft Cloud technologies
Partner with architects and product teams to integrate resiliency best practices into application design and safe deployment practices
Contribute to automated testing and validation frameworks to ensure high availability and disaster recovery readiness
Write scripts to automate operational tasks, improving efficiency and reducing manual effort
Participate in on-call rotations as the Directly Responsible Individual (DRI), taking ownership of issues and driving resolution
Participate in incident reviews and postmortems to drive continuous improvement in reliability and security

Fulltime

New

Sr. Engineer, ML Platform

As the leading delivery platform in the region, we have a unique responsibility ...

Location

United Kingdom , London

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
Familiarity with SQL and data warehouse modeling
capable of managing complex data queries, joins, aggregations, and transformations
Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
Bachelor’s degree in Computer Science, Engineering, or a related field

Job Responsibility

Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Fulltime

New

Sr. Software Engineer II - Cloud Platform

We’re not just building better tech. We’re rewriting how data moves and what the...

Location

Salary:

Not provided

Confluent

Expiration Date

Until further notice

Requirements

Strong programming skills, with a focus on reading, debugging, and evolving existing code in languages like Go, Java, or Python
Solid understanding of systems internals, including filesystems, memory management, network stacks, and kernel behavior
Hands-on experience running Kubernetes in production, and a deep understanding of containers and modern cloud-native workflows
Demonstrated experience with at least one major public cloud provider such as AWS, GCP, or Azure
A strong bias for automation and reproducibility
comfortable working with Kubernetes, GitOps, Terraform, CI/CD pipelines, and observability tools
Confidence in diagnosing complex systems, handling incidents, and driving continuous improvements to reliability
A genuine interest in how large-scale systems behave in the real world, and a drive to make them better every day
Exceptional teamwork, collaboration skills, and the ability to work independently as part of a globally distributed team
Solid written and verbal communication skills coupled with strong motivation to help others

Job Responsibility

Design, build, and evolve internal infrastructure services written in Go, often as Kubernetes operators, that power the core platform behind Confluent Cloud
Own the systems that make cloud infrastructure secure, scalable, observable, and reliable, using GitOps, Terraform, Prometheus, Grafana, and a strong foundation in Linux, networking, and public cloud
Collaborate with engineers across Confluent to enable fast, safe, and autonomous deployment of services through shared platform tooling and best practices
Take shared responsibility for the full lifecycle of our infrastructure: availability, performance, monitoring, incident response, and capacity planning
Work on systems at scale, across tens of thousands of instances and multiple regions, with a focus on smooth, fast, and safe operations
Influence the architecture and operational strategy behind the critical infrastructure that supports all of Confluent’s cloud services
Participate in a 8-hour, follow-the-sun on-call rotation

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Offers Equity

Sr. Software Engineer, Observability

Dialpad

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 29, 2025

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