Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

The primary function of this position is to ensure the operational reliability of Smarsh’s core Enterprise Platform Datastore technologies. The Workload Management team embraces a DevOps culture and employs Site Reliability Engineering principles of proactivity, automation, cross-functional collaboration, and data-driven decision-making. The main responsibilities include owning operational availability, security, scalability, observability, instrumentation, and overall service reliability of all Datastore platforms within the Enterprise Platform which include, MongoDB, Kafka, Elasticsearch and Manage Datastores like AWS RDS, S3, MKS and Document DB. This includes creating systems, processes, tools, and scripts to automate system and software deployment through its verticals and lifecycles. In addition, this role requires the ability to collaborate with third parties such as internal groups and/or service providers.

How will you contribute?

Support all systems and infrastructure associated with the day2 operations of all Datastore clusters within Smarsh’s Enterprise Platform.
Design, implement, and maintain high available and scalable MongoDB clusters.
Monitor and troubleshoot database performance issues, ensuring uptime and efficiency
Build and maintain the platform infrastructure by automating workflows related to MongoDB and other Datastores.
Develop automation tools and scripts to streamline database operations such as scaling, provisioning, and replication lag.
Integrate MongoDB on cloud-native and on-prem environments, including containerized platform like Kubernetes.
Analyse and optimize MongoDB resource utilization (CPU, memory, disk, IO) for performance and cost-efficiency.
Ensure our Datastore platform installations adhere to best practices in security, including authentication, authorization, encryption, and auditing.
Attend team’s standups in support of daily activities, as well as all Agile ceremonies in support of the team goals.
Work closely with software engineering teams to support database architecture, provide guidance for database design, schema optimization, and query tuning.

What will you bring?

Bachelor’s degree in Information Systems, Computer Science, or related discipline or equivalent work experience and technical training desired.
A minimum 5 years of demonstrated work experience showing progressive growth and expansion of job responsibilities.
Basic experience with MongoDB, including installations, configurations, upgrading, and scaling.
Knowledge with MongoDB Replica Sets, sharding, and clustering.
Solid background working with cloud Platforms like AWS and platform automation tools like Terraform, Ansible, or equivalent.
Highly experienced with scripting languages such as Python and Bash.
Knowledge of git-ops, CI/CD pipelines.
Solid experience and knowledge of one or more Linux distributions.
Solid network fundamentals (TCP/IP, DNS, TLS, Load Balancing, etc).
Experience with gathering metrics and making informed decisions about performance.
Experienced with enterprise-level observability tools like Datadog, Prometheus, Honeycomb, ELK or similar.
Familiarity with building and deploying containerized solutions using tools like Docker and Kubernetes.
Proficiency in MongoDB query optimization, indexing strategies, and performance tuning.
Experience with other NoSQL databases and relational databases (MySQL, PostgreSQL) is a plus.
Experience or Knowledge of other Datastore platform like ElasticSearch and Kafka, a big plus.

What do we offer?

We value our people and offer a competitive salary along with company bonus
Strong maternity and paternity scheme
A workplace pension scheme
Take what you need holiday package
Private medical insurance
Dental plan
Group life assurance
Group income protection
Employee assistance programme
A monthly wellness allowance
Adoption assistance
Stock options

Work environment

On-call availability on weekly rotation
Sitting for extended periods of time
Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components
Lifting and transporting of moderately heavy objects, such as computers and peripherals
Ability to effectively prioritize and execute tasks in a high-pressure environment.

About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.